Truck loses control Brakes failure Girls safe Vehicles Accident. By: SkyBlueJack Man with fire motorcycle. Driver over speeding car Highway car over speeding Suspect taken over dose Suspect arrested.

By: ThisIsButter1 By: brrrtmn What is ItemFix? Let's look at what you can do with ItemFix. Tutorial: ItemFix Meme Generator A quick look at using our MEME generator here on Itemfix You can find the meme generator here: www. Tutorial: Text to Speech Taking a look at the text to speech engine on ItemFix. It was at this moment a meme tutorial Learn how to use the "It was at this moment ItemFix Tutorial - Short compilation For this tutorial we use two different templates to create a short tutorial using two video clips and some assets.

Video to GIF tutorial Here we take a look at using the Video to GIF template allowing you to create animated GIFs from video clips to use everywhere. The speed of business has never been faster than it is today. For small business owners, time is at a premium as they are wearing multiple hats every day. Macroeconomic challenges like inflation and supply chain issues are making successful money and cash flow management even more challenging.

This presents a tremendous opportunity that innovation in fintech can solve by speeding up money movement, increasing access to capital, and making it easier to manage business operations in a central place.

Fintech offers innovative products and services where outdated practices and processes offer limited options.

For example, fintech is enabling increased access to capital for business owners from diverse and varying backgrounds by leveraging alternative data to evaluate creditworthiness and risk models. This can positively impact all types of business owners, but especially those underserved by traditional financial service models. When we look across the Intuit QuickBooks platform and the overall fintech ecosystem, we see a variety of innovations fueled by AI and data science that are helping small businesses succeed.

By efficiently embedding and connecting financial services like banking, payments, and lending to help small businesses, we can reinvent how SMBs get paid and enable greater access to the vital funds they need at critical points in their journey. Overall, we see fintech as empowering people who have been left behind by antiquated financial systems, giving them real-time insights, tips, and tools they need to turn their financial dreams into a reality.

Innovations in payments and financial technologies have helped transform daily life for millions of people. People who are unbanked often rely on more expensive alternative financial products AFPs such as payday loans, money orders, and other expensive credit facilities that typically charge higher fees and interest rates, making it more likely that people have to dip into their savings to stay afloat.

A few examples include:. Mobile wallets - The unbanked may not have traditional bank accounts but can have verified mobile wallet accounts for shopping and bill payments. Their mobile wallet identity can be used to open a virtual bank account for secure and convenient online banking. Minimal to no-fee banking services - Fintech companies typically have much lower acquisition and operating costs than traditional financial institutions. They are then able to pass on these savings in the form of no-fee or no-minimum-balance products to their customers.

This enables immigrants and other populations that may be underbanked to move up the credit lifecycle to get additional forms of credit such as auto, home and education loans, etc. Entrepreneurs from every background, in every part of the world, should be empowered to start and scale global businesses. Most businesses still face daunting challenges with very basic matters. These are still very manually intensive processes, and they are barriers to entrepreneurship in the form of paperwork, PDFs, faxes, and forms.

Stripe is working to solve these rather mundane and boring challenges, almost always with an application programming interface that simplifies complex processes into a few clicks. Stripe powers nearly half a million businesses in rural America. The internet economy is just beginning to make a real difference for businesses of all sizes in all kinds of places. We are excited about this future. The way we make decisions on credit should be fair and inclusive and done in a way that takes into account a greater picture of a person.

Lenders can better serve their borrowers with more data and better math. Zest AI has successfully built a compliant, consistent, and equitable AI-automated underwriting technology that lenders can utilize to help make their credit decisions. While artificial intelligence AI systems have been a tool historically used by sophisticated investors to maximize their returns, newer and more advanced AI systems will be the key innovation to democratize access to financial systems in the future.

D espite privacy, ethics, and bias issues that remain to be resolved with AI systems, the good news is that as large r datasets become progressively easier to interconnect, AI and related natural language processing NLP technology innovations are increasingly able to equalize access.

T he even better news is that this democratization is taking multiple forms. AI can be used to provide risk assessments necessary to bank those under-served or denied access. AI systems can also retrieve troves of data not used in traditional credit reports, including personal cash flow, payment applications usage, on-time utility payments, and other data buried within large datasets, to create fair and more accurate risk assessments essential to obtain credit and other financial services.

By expanding credit availability to historically underserved communities, AI enables them to gain credit and build wealth. Additionally, personalized portfolio management will become available to more people with the implementation and advancement of AI. Sophisticated financial advice and routine oversight, typically reserved for traditional investors, will allow individuals, including marginalized and low-income people, to maximize the value of their financial portfolios.

Moreover, when coupled with NLP technologies, even greater democratization can result as inexperienced investors can interact with AI systems in plain English, while providing an easier interface to financial markets than existing execution tools. Open finance technology enables millions of people to use the apps and services that they rely on to manage their financial lives — from overdraft protection, to money management, investing for retirement, or building credit.

More than 8 in 10 Americans are now using digital finance tools powered by open finance. This is because consumers see something they like or want — a new choice, more options, or lower costs. What is open finance? At its core, it is about putting consumers in control of their own data and allowing them to use it to get a better deal.

When people can easily switch to another company and bring their financial history with them, that presents real competition to legacy services and forces everyone to improve, with positive results for consumers.

For example, we see the impact this is having on large players being forced to drop overdraft fees or to compete to deliver products consumers want. We see the benefits of open finance first hand at Plaid, as we support thousands of companies, from the biggest fintechs, to startups, to large and small banks.

All are building products that depend on one thing - consumers' ability to securely share their data to use different services. Open finance has supported more inclusive, competitive financial systems for consumers and small businesses in the U.

and across the globe — and there is room to do much more. As an example, the National Consumer Law Consumer recently put out a new report that looked at consumers providing access to their bank account data so their rent payments could inform their mortgage underwriting and help build credit.

This is part of the promise of open finance. At Plaid, we believe a consumer should have a right to their own data, and agency over that data, no matter where it sits. This will be essential to securing benefits of open finance for consumers for many years to come.

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times. Donna Goodison dgoodison is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald.

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services. Both prongs of that are important. But cost-cutting is a reality for many customers given the worldwide economic turmoil, and AWS has seen an increase in customers looking to control their cloud spending.

By the way, they should be doing that all the time. The motivation's just a little bit higher in the current economic situation. This interview has been edited and condensed for clarity. Besides the sheer growth of AWS, what do you think has changed the most while you were at Tableau? Were you surprised by anything? The number of customers who are now deeply deployed on AWS, deployed in the cloud, in a way that's fundamental to their business and fundamental to their success surprised me.

There was a time years ago where there were not that many enterprise CEOs who were well-versed in the cloud. It's not just about deploying technology. The conversation that I most end up having with CEOs is about organizational transformation. It is about how they can put data at the center of their decision-making in a way that most organizations have never actually done in their history. And it's about using the cloud to innovate more quickly and to drive speed into their organizations.

Those are cultural characteristics, not technology characteristics, and those have organizational implications about how they organize and what teams they need to have.

It turns out that while the technology is sophisticated, deploying the technology is arguably the lesser challenge compared with how do you mold and shape the organization to best take advantage of all the benefits that the cloud is providing. How has your experience at Tableau affected AWS and how you think about putting your stamp on AWS? I, personally, have just spent almost five years deeply immersed in the world of data and analytics and business intelligence, and hopefully I learned something during that time about those topics.

I'm able to bring back a real insider's view, if you will, about where that world is heading — data, analytics, databases, machine learning, and how all those things come together, and how you really need to view what's happening with data as an end-to-end story.

It's not about having a point solution for a database or an analytic service, it's really about understanding the flow of data from when it comes into your organization all the way through the other end, where people are collaborating and sharing and making decisions based on that data. AWS has tremendous resources devoted in all these areas.

Can you talk about the intersection of data and machine learning and how you see that playing out in the next couple of years?

What we're seeing is three areas really coming together: You've got databases, analytics capabilities, and machine learning, and it's sort of like a Venn diagram with a partial overlap of those three circles. There are areas of each which are arguably still independent from each other, but there's a very large and a very powerful intersection of the three — to the point where we've actually organized inside of AWS around that and have a single leader for all of those areas to really help bring those together.

There's so much data in the world, and the amount of it continues to explode. We were saying that five years ago, and it's even more true today. The rate of growth is only accelerating.

It's a huge opportunity and a huge problem. A lot of people are drowning in their data and don't know how to use it to make decisions. Other organizations have figured out how to use these very powerful technologies to really gain insights rapidly from their data.

What we're really trying to do is to look at that end-to-end journey of data and to build really compelling, powerful capabilities and services at each stop in that data journey and then…knit all that together with strong concepts like governance. By putting good governance in place about who has access to what data and where you want to be careful within those guardrails that you set up, you can then set people free to be creative and to explore all the data that's available to them.

AWS has more than services now. Have you hit the peak for that or can you sustain that growth? We're not done building yet, and I don't know when we ever will be. We continue to both release new services because customers need them and they ask us for them and, at the same time, we've put tremendous effort into adding new capabilities inside of the existing services that we've already built. We don't just build a service and move on.

Inside of each of our services — you can pick any example — we're just adding new capabilities all the time. One of our focuses now is to make sure that we're really helping customers to connect and integrate between our different services. So those kinds of capabilities — both building new services, deepening our feature set within existing services, and integrating across our services — are all really important areas that we'll continue to invest in.

Do customers still want those fundamental building blocks and to piece them together themselves, or do they just want AWS to take care of all that? There's no one-size-fits-all solution to what customers want. It is interesting, and I will say somewhat surprising to me, how much basic capabilities, such as price performance of compute, are still absolutely vital to our customers.

But it's absolutely vital. Part of that is because of the size of datasets and because of the machine learning capabilities which are now being created. They require vast amounts of compute, but nobody will be able to do that compute unless we keep dramatically improving the price performance.

We also absolutely have more and more customers who want to interact with AWS at a higher level of abstraction…more at the application layer or broader solutions, and we're putting a lot of energy, a lot of resources, into a number of higher-level solutions.

One of the biggest of those … is Amazon Connect, which is our contact center solution. In minutes or hours or days, you can be up and running with a contact center in the cloud. At the beginning of the pandemic, Barclays … sent all their agents home.

In something like 10 days, they got 6, agents up and running on Amazon Connect so they could continue servicing their end customers with customer service. We've built a lot of sophisticated capabilities that are machine learning-based inside of Connect. We can do call transcription, so that supervisors can help with training agents and services that extract meaning and themes out of those calls.

We don't talk about the primitive capabilities that power that, we just talk about the capabilities to transcribe calls and to extract meaning from the calls.

It's really important that we provide solutions for customers at all levels of the stack. Given the economic challenges that customers are facing, how is AWS ensuring that enterprises are getting better returns on their cloud investments? Now's the time to lean into the cloud more than ever, precisely because of the uncertainty. We saw it during the pandemic in early , and we're seeing it again now, which is, the benefits of the cloud only magnify in times of uncertainty. For example, the one thing which many companies do in challenging economic times is to cut capital expense.

For most companies, the cloud represents operating expense, not capital expense. You're not buying servers, you're basically paying per unit of time or unit of storage. That provides tremendous flexibility for many companies who just don't have the CapEx in their budgets to still be able to get important, innovation-driving projects done.

Another huge benefit of the cloud is the flexibility that it provides — the elasticity, the ability to dramatically raise or dramatically shrink the amount of resources that are consumed. You can only imagine if a company was in their own data centers, how hard that would have been to grow that quickly. The ability to dramatically grow or dramatically shrink your IT spend essentially is a unique feature of the cloud. These kinds of challenging times are exactly when you want to prepare yourself to be the innovators … to reinvigorate and reinvest and drive growth forward again.

We've seen so many customers who have prepared themselves, are using AWS, and then when a challenge hits, are actually able to accelerate because they've got competitors who are not as prepared, or there's a new opportunity that they spot. We see a lot of customers actually leaning into their cloud journeys during these uncertain economic times. Do you still push multi-year contracts, and when there's times like this, do customers have the ability to renegotiate?

Many are rapidly accelerating their journey to the cloud. Some customers are doing some belt-tightening. What we see a lot of is folks just being really focused on optimizing their resources, making sure that they're shutting down resources which they're not consuming. You do see some discretionary projects which are being not canceled, but pushed out. Every customer is free to make that choice. But of course, many of our larger customers want to make longer-term commitments, want to have a deeper relationship with us, want the economics that come with that commitment.

We're signing more long-term commitments than ever these days. We provide incredible value for our customers, which is what they care about. That kind of analysis would not be feasible, you wouldn't even be able to do that for most companies, on their own premises. So some of these workloads just become better, become very powerful cost-savings mechanisms, really only possible with advanced analytics that you can run in the cloud.

In other cases, just the fact that we have things like our Graviton processors and … run such large capabilities across multiple customers, our use of resources is so much more efficient than others. We are of significant enough scale that we, of course, have good purchasing economics of things like bandwidth and energy and so forth.

So, in general, there's significant cost savings by running on AWS, and that's what our customers are focused on. The margins of our business are going to … fluctuate up and down quarter to quarter. It will depend on what capital projects we've spent on that quarter.

Obviously, energy prices are high at the moment, and so there are some quarters that are puts, other quarters there are takes. The important thing for our customers is the value we provide them compared to what they're used to.

And those benefits have been dramatic for years, as evidenced by the customers' adoption of AWS and the fact that we're still growing at the rate we are given the size business that we are. That adoption speaks louder than any other voice. Do you anticipate a higher percentage of customer workloads moving back on premises than you maybe would have three years ago? Absolutely not. We're a big enough business, if you asked me have you ever seen X, I could probably find one of anything, but the absolute dominant trend is customers dramatically accelerating their move to the cloud.

Moving internal enterprise IT workloads like SAP to the cloud, that's a big trend. Creating new analytics capabilities that many times didn't even exist before and running those in the cloud.

More startups than ever are building innovative new businesses in AWS. Our public-sector business continues to grow, serving both federal as well as state and local and educational institutions around the world. It really is still day one. The opportunity is still very much in front of us, very much in front of our customers, and they continue to see that opportunity and to move rapidly to the cloud. In general, when we look across our worldwide customer base, we see time after time that the most innovation and the most efficient cost structure happens when customers choose one provider, when they're running predominantly on AWS.

A lot of benefits of scale for our customers, including the expertise that they develop on learning one stack and really getting expert, rather than dividing up their expertise and having to go back to basics on the next parallel stack. That being said, many customers are in a hybrid state, where they run IT in different environments. In some cases, that's by choice; in other cases, it's due to acquisitions, like buying companies and inherited technology. We understand and embrace the fact that it's a messy world in IT, and that many of our customers for years are going to have some of their resources on premises, some on AWS.

Some may have resources that run in other clouds. We want to make that entire hybrid environment as easy and as powerful for customers as possible, so we've actually invested and continue to invest very heavily in these hybrid capabilities. A lot of customers are using containerized workloads now, and one of the big container technologies is Kubernetes. We have a managed Kubernetes service, Elastic Kubernetes Service, and we have a … distribution of Kubernetes Amazon EKS Distro that customers can take and run on their own premises and even use to boot up resources in another public cloud and have all that be done in a consistent fashion and be able to observe and manage across all those environments.

So we're very committed to providing hybrid capabilities, including running on premises, including running in other clouds, and making the world as easy and as cost-efficient as possible for customers. Can you talk about why you brought Dilip Kumar, who was Amazon's vice president of physical retail and tech, into AWS as vice president applications and how that will play out?

He's a longtime, tenured Amazonian with many, many different roles — important roles — in the company over a many-year period. Dilip has come over to AWS to report directly to me, running an applications group.

We do have more and more customers who want to interact with the cloud at a higher level — higher up the stack or more on the application layer. We talked about Connect, our contact center solution, and we've also built services specifically for the healthcare industry like a data lake for healthcare records called Amazon HealthLake.

We've built a lot of industrial services like IoT services for industrial settings, for example, to monitor industrial equipment to understand when it needs preventive maintenance. We have a lot of capabilities we're building that are either for … horizontal use cases like Amazon Connect or industry verticals like automotive, healthcare, financial services. We see more and more demand for those, and Dilip has come in to really coalesce a lot of teams' capabilities, who will be focusing on those areas.

You can expect to see us invest significantly in those areas and to come out with some really exciting innovations. Would that include going into CRM or ERP or other higher-level, run-your-business applications? I don't think we have immediate plans in those particular areas, but as we've always said, we're going to be completely guided by our customers, and we'll go where our customers tell us it's most important to go next.

It's always been our north star. Correction: This story was updated Nov. Bennett Richardson bennettrich is the president of Protocol. Prior to joining Protocol in , Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company.

Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB.

Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University. Prior to joining Protocol in , he worked on the business desk at The New York Times, where he edited the DealBook newsletter and wrote Bits, the weekly tech newsletter. He has previously worked at MIT Technology Review, Gizmodo, and New Scientist, and has held lectureships at the University of Oxford and Imperial College London.

He also holds a doctorate in engineering from the University of Oxford. We launched Protocol in February to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

Measuring true power is more than multiplying voltage and current. Advances in complex power electronics and energy efficiency create measurement challenges that can confound even the most experienced engineers. Unlike data acquisition and oscilloscope-based power measurement tools, power analyzers are purpose-built to guarantee measurement accuracy when testing devices that generate, transform, or consume electricity.

Yokogawa, the world's leading supplier of electrical power analyzers, provides solutions for testing power electronics, inverters, motors and drives, lighting, home appliances, office equipment, power supplies, industrial machinery and more. Power analyzers and power meters measure electrical power in devices that generate, transform, or consume electricity. Since they offer the accuracy, frequency ranges, and functions necessary to meet industry test and measurement standards, they have been used for decades in electrical product testing applications.

More than simply watt meters, these instruments make true power measurements using matched voltage and current input circuits.

This application note discusses the top 10 reasons, plus one, to select a Yokogawa power analyzer. The Yokogawa CW is a portable power analyzer that logs transient power phenomena in addition to measuring single to three phase power. Yokogawa's Power Analyzer software manages numeric, waveform, and harmonic data measurements. It enables data logging and instrument configuration from your computer.

Accessories for digital power analyzers include various voltage and current transformers, clamp-on current probes, and a selection of test leads. In some power measurement applications, the current in the device under test is higher than what can be applied directly to the power analyzer current input terminals. Current transformers are used to step down high AC and DC currents to a lower level that can be measured directly by the power analyzer.

These systems safely step down currents while preserving the highest accuracy. This panel-mounted power meter and energy meter with a large, three-row LED display integrates all the measuring functions required for power management in locations such as factories and buildings into a single unit. In this application note you will learn when and how to use different methods to connect a current transformer to a power analyzer. The accuracy of a measurement instrument varies with the range over which a reading is measured.

Not all instrument manufacturers specify accuracy and ranges in the same manner. This article explores the impact of range definitions on measurement accuracy and how one can be mindful when comparing accuracy across instruments. Specifically addressed are direct and quadrature currents of a surface-mounted permanent magnet motor SMPM with field weakening applied. The techniques illustrated can also be applied to other FOC variables, algorithms, and motor technologies.

What is a Power Analyzer? This application note details the process for measuring and verifying proper motor function using a power analyzer, and how to troubleshoot common errors in the measured output. Energy consumption in low-power and standby modes is an important issue due to increased awareness that energy resources are becoming limited and demand for energy-saving household electrical appliances continues to grow. IEC Ed2. It is crucial that design and test engineers choose highly accurate power measurement tools to confirm that their devices meet these requirements.

Designing an instrumentation system for high current measurement requires careful consideration of the trade-offs associated with each type of sensing device. The purpose of this application note is to help engineers understand the sensing choices available and the corresponding trade-offs with each technology. With increased focus on reducing energy consumption and compliance with efficiency standards, this app note provides an overview on the types of measurements needed for efficiency and power quality, and the instruments that take them.

We have developed the WT Precision Power Analyzer, which features the world's highest measurement accuracy of ±0. This article looks at some of the factors that can affect the accuracy of power measurements and shows how users can address the challenges presented by the need for accurate energy-efficiency testing. The objective of this paper is to show the close relationship between efficiency and power quality, and provide education on the causes of power quality, types of power quality issues, and provide guidance on measurement considerations.

Government agencies that define the standardization of energy efficiency metrics continue to be a driving force behind the development of the next generation electric vehicle powertrains.

These metrics require manufacturers to have high confidence in their measurements and motivate the optimization of efficiency. Yokogawa developed the PX precision power scope, a high-accuracy power meter, which can measure reactor losses in inverters, motors and the like, by analyzing waveforms. The major specifications of the instrument are as follows: basic accuracy is 0. The PX offers the functionality usually provided by a waveform measuring instrument, such as a variety of triggers, tracking, statistical processing, and waveform parameter calculation functions.

Furthermore, to improve measurement accuracy at low power ratios this product comes with a de-skew function for correcting signal delays from the current sensor and a data latency adjustment function.

This paper describes the PX, focusing on a newly developed element dedicated for power measurement and technology for phase correction.

This white paper describes the WT, a precision power analyzer that has been replaced by the WTE, a unit with numerous improvements including better accuracy.

Please visit the WTE product page to learn more about the WTE. To keep pace with the increasing speed of switching devices in inverters, Yokogawa has developed the WT precision power analyzer with 10 times faster sampling speed and 5 times wider frequency bandwidth compared with previous models.

Its basic accuracy is 0. With up to six inputs, a single WT unit can measure the efficiency of three-phase inverters. In addition, the high-speed data capturing mode allows the WT to measure transient power. This paper describes the high-speed, real-time power measurement technologies underlying these functions.

If the PR will power on, but doesn't respond when pressing the buttons, check the power supply and make sure it's being powered by VDC or VAC. The AC Power Input in all Yokogawa instruments is designed as a 3-pin connection one of which is a GND pin. In some parts of the world, PCs are sold with AC power cables that are 2-pin. Often times this means the To use the data streaming feature, make sure you have a fixed voltage and current range.

Data streaming will not work if the voltage and current are set to auto range. We redesigned the original filtering characteristic to obtain a For additional informating regarding the Pin Centronics Connector, please refer to the attached PDF and click on the link below.

Although WTViewer is not officially supported under the Linux environment, users have successfully done so using WINE flavor of Linux via RS The following product tutorial guides have been created for the WT and PZ Series Power Meter and Analyzer instruments and are available for download. Each tutorial contains quick and easy steps to help you get started Selecting formulas for calculating apparent power and reactive powerThere are several types of power—active power, reactive power, and apparent power.

The waveform may actually not be a pure sine wave. Check for differences in the specifications or features of the instruments. Check the sync source setting. For example, route the input to a three-phase device under measurement to input elements on the power meter, In the three-phase three-wire, or 3V3A wiring scheme, the phase angle of voltage and current input to each input differs from that of the actual load because it is the line to line voltage that is measured.

The peak value and crest factor may be unstable if they have not been captured accurately. If the peak value is not stable, neither will the crest factor be stable.

The cause is the difficulty in capturing the narrow The difference in measurement values can be attributed to the difference in calculation methods for normal mode and harmonic mode. The voltage, current, and power in normal mode are displayed as the total of the The following may be causing the problem.

Check the range setting again. DA output error can affect the values when the input is smaller than the rating. Have you checked the error Check the Synch Source and Frequency Filter settings When a single-phase signal being measured fluctuates around power factor of 1. Slight fluctuations in the measured values of voltage, current, and power can cause a This is to prevent an open current circuit.

Among non-Japanese power meters, there are products that also use safety terminals for current terminals. Safety terminals can be said to be safe because the terminal is not To use USB interface on the WT and WT Power Analyzer from NI LabVIEW environment, you will need to use the USB driver from National Instruments.

This USB driver is usually installed when you install NI-VISA and is called the When the WT Digital Power Analyzer is set into Integration mode, the averaged power watt values can be calculated and displayed. This is available only by using the User-Defined Function feature found in the MEASURE button menu. To programmatically read all harmonic orders measurement values, please use the ":NUMERIC:LIST" command set.

The maximum number of items for the :NUMERIC:LIST:VALUE? command is However, 1 LIST ITEM can You can not use LabVIEW and WTviewer to communicate with the PC using same USB driver. The USB driver for LabVIEW and the USB driver for WTviewer is different. Yokogawa's YKMUSB driver is used by WTviewer The scope will perform an FFT on the current waveform and can be used to measure the general The actual display update rate for the WT Power Analyzer will depend on the input signal and the trigger setting.

In addition, there may be a very small trigger delay several milliseconds if the input signal does not match the If the HOLD button was pressed when the WT was powered OFF, it causes the WT to display "" on the next time it is powered ON.

You can revert back to a numerical display simply press the HOLD button. The value depends on the model of the power analyzer. For Precision Power Analyzer WT, WT, WT, and WT, it is fixed to the fundamental wave. For power analyzers with 7 segments LED, the relative harmonic content is fixed to the Can Xviewer.

exe be run as multiple instance?

From an engineering perspective, harmonics produce excessive heat in equipment that causes significant damage and results in inefficient operation. Voltage fluctuations and harmonics flow into the power system due to reverse power flow. Date: September 9th, By: brrrtmn Why is the Theoretical Calculated Power Factor and Phase Angle Different Than the Measured Values? WTViewerE Product Training. Gaddi H.

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