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Volume 20221030| October 30, 2022
SMRP 30th Conference and Midwest Regional Vibration Institute Post-Conference
Table of Contents:
  • Editorial - A few Random Thoughts from the SMRP and Midwest Vibration Insitute Conference
  • EMPATH System
  • Machine Learning IoT in a Box: Lessons from the SMRP Conference
  • Tech Tip: Capacitance Monitoring for Global VPI (IEEE DEIS)
  • Energy Savings from Harmonic Filters

Please note: if you attended the SMRP conference and had not signed up for the Motor Diagnostics and Motor Health News, then this will be the final one you will see unless you sign up at the bottom of https://empathcms.com, https://motordoc.com or https://motordocai.io . As a vendor at the conference we were allowed one before and one after email. Please enjoy. I thought this might be more fun than some random marketing materials.
It has been an exciting two weeks. We went directly from an on-site electrical infrastructure survey in Kentucky back to Illinois then off to Raleigh, NC for the SMRP 30th Annual Conference followed by an indirect route back to Illinois to stop in Sandusky, OH for the Midwest Vibration Institute meeting on the Friday. Yes, we drove. Unfortunately, air travel is not quite back to the level of reliability where I can trust that we will be where we need to be when we need to be. But that is an article we’re working on for the next newsletter.

Following some unusual challenges at the 29th annual conference, and the size of the initial attendee list, I was looking forward to a relaxing few days presenting, kicking back in the booth, getting caught up on emails, catching up with friends and associates, and attending a few presentations. Unfortunately, the conference went exceedingly well with close to 1200 attendees (including vendors), an extremely active show floor – that went on 40-60 minutes after the end of the show hours each day, including holding up teardown, and continuous meetings with potential clients. Heck, we even did a little troubleshooting at another vendor’s booth (see Machine Learning IoT in a Box: Lessons from the SMRP Conference - MotorDocAI) and walked out of there with a number of projects and orders. So, I had to put relaxing off until the weekend (or maybe the next one).

Sandwiched between our friends from R&G Labs and ReliabilityX, with RDI at our backs, when any of us had a chance to breathe we caught up on how things within the industry have been going. Then, of course, the coffee and food being available for vendors before and after the attendees were released en masse into the hall and the open Innovation Lab space. How dare a conference set up something so benevolent for us vendors – we actually felt included. With this kind of treatment we’ll definitely have to attend next year – in protest, of course.

I did get to open up the Innovation Labs on the first day with a discussion of how incoming power effects electrical and electrically driven equipment in-plant, which included a few new and very fresh case studies. The concerns about the quality of power from local distribution, utilities, and internal ground/neutrals are rising to a level we did not see in the past. One of the unintended consequences of adding more and more electronic devices to our systems without reviewing those areas that are invisibly impacted. To my humbled surprise the session was extremely well attended – standing room only well into the eating area. Thank you to those who hung out and listened to me ramble on for an hour about another favorite topic. I will be recording a version of the session over the next few weeks for those who were unable to attend – well, actually, it will be exclusive for our MDMH readers (hint).

There was, of course, the opportunity to have a lesson-learned occur on the last day. In this case, it was a reminder why expert systems and basic tools and knowledge are critically important over just automated ML/AI systems. Don’t get me wrong, these have their place – I’ve used and taught variations of ML/AI/digital twin, etc. since the 1990s (before anyone could design stuff on a cheap laptop or PC) for analytics and data science. Over the past few years we even discovered new methodologies (see IEEE paper: Machine Learning for Electric Machine Prognostics IEEE Paper - MotorDocAI ) and published the concepts. However, it became apparent during a troubleshooting opportunity at another booth that relying upon AI/ML can have dire consequences. As it turns out, you cannot replace personnel with AI/ML yet – and most likely never. ML can only show you what it has been taught, and associated human bias, and falls apart as soon as something that it has not been trained for occurs – it is explicit. Human beings remain implicit in that we adjust to varying circumstances.

Don’t get me wrong, I use ML/AI and data science, have since the end of the 1980s when it was just a few decades old. Those of us in the reliability and maintenance industry have – by definition. I mean, yesterday I was building a model related to adjusting our 3 and 5 year forecasting in Python, reviewing some probability analysis in R, and working on a new model concept in MatLab for Time to Failure Estimation (what better way to spend a Saturday?). Over the past week we’ve also utilized data collected at a site to do some data drilling and pattern analysis, etc. which was more of a data science task. The use of some of the new tools to increase my (and our) effectiveness is impressive – if you are in reliability engineering I highly recommend getting some exposure to the concepts surrounding data science and machine learning. If you don’t have time for in-person classes there is a lot of information in online coursework and YouTube. I recommend the University courses on systems such as Coursera as they spend time on the concepts and methods instead of selling short cuts (always good to understand the tech when you have to implement it, or you won’t know the strengths and weaknesses).

Of course, we also had initial pre-release copies of “Practical Electrical and Current Signature Analysis of Electrical Machinery and Systems,” which provides details on ESA/MCSA analysis including insight into the automation built into the EMPATH system. You will be able to utilize your ESA device, should it be capable of anything other than linear analysis (i.e.: it only shows FFTs in current or voltage (linear) versus dB, which is not load dependent), with what is in the book. It is expected to be on Amazon and other online sales before the end of the year and will be available in eBook form within the next few weeks online. However, if you are in one of our training courses you will receive a copy.

After tearing down the booth we got some much needed rest before the 10 hour trip to Sandusky, OH for the 90 minute class at the Midwest Vibration Institute on the Friday. In that presentation we covered the use of ESA for the detection of mechanical systems in the electric motor and driven equipment, or the generator and powertrain (of course). This class was also well-attended and ended two days of great classes on vibration, motion amplification, IoT, alignment, etc. with lots of great interaction.

Now, we are back in the field and getting caught up. There are a lot of new things that will hit the wind industry this year and the rest of industry next year. We’ve been working with our partners and a number of the projects we have been working on are about to be released. We paid attention during 2020-2022 and had already started accounting for changes – watch for announcements.

See you on the road!


For more information see us at https://motordoc.com or contact us at info@motordoc.com, or by replying to this newsletter.

Howard W Penrose, Ph.D., CMRP
President, MotorDoc LLC

Howard has been a member of the National Writers Union since 2008.
MotorDoc LLC is a registered Veteran Owned Small Business
EMPATH Systems
Whether you are looking for data collection or continuous monitoring, the EMPATH System is presently in use for everything from electrical generation to transformers, incoming power analysis, to AC/DC machines in-plant. It does not require a learning period and automatically analyzes and alerts right off the first test.

This means that you can detect defective equipment versus a variation from present conditions (good or bad) from early bearing defects to utility supply issues immediately.

Analysis is built into the software - not requiring an outside expert or a long wait for tech support - with the ability to also review the details. This includes identifying energy losses in kilowatts BY DEFECT (not just overall) and greenhouse gas emissions by defect BEFORE repairs.

This means that you can say 'if we replace that bearing we will save $$ in electricity and reduce emissions by so many tons,' or even, 'if we properly align this machine we can save this much in electricity and reduce emissions by this many tons.' Now, see how quickly management goes into action.

For more information go to https://empathcms.com
Practical Electrical and Current Signature Analysis of Electrical Machinery and Systems
A reading of the new book on Electrical and Current Signature Analysis by Howard Penrose and MotorDoc LLC, which is planned for release by the end of 2022. Following is a reading from the forward:



Written for the field technician, engineer, or reliability/maintenance manager in mind, Practical Electrical and Current Signature Analysis of Electrical Machinery and Systems is an essential working tool for the new and experienced ESA and MCSA practitioner. The book takes the practitioner well beyond the electric motor into incoming power, mechanical components, and driven equipment up to and including DFIG wind turbine and powertrain analysis and alternative energy transformers. It is based upon decades of field experience and practical research concluding with an overview of machine learning associated with basic motor data and present applications of ESA/MCSA IoT systems. Whether data collection or continuous monitoring regardless of the choice of technology, you will understand the requirements, capabilities and limitations to provide accurate prognostics. For managers and engineers who need to understand the capabilities of ESA/MCSA technology the book provides an easy-to-understand overview of the technology along with extensive real case studies.

This will not be a replacement for Electrical Motor Diagnostics 2nd Edition which remains in-print.

Practical ESA will be available in both hard cover and eBook format with color images throughout. The final release date will be announced in this newsletter.
Machine Learning IoT in a Box: Lessons Learned
Lately there has been a lot of discussion about the differences surrounding electric motor prognostics with expert systems and machine learning IoT devices. The difference became glaringly obvious right before the show floor opened on the last day of the SMRP 30th Annual Conference in Raleigh, NC. One of the other booths had a series of electric motors and drives that they were also going to need for a fully booked precision maintenance workshop the next day. Following the failure of two of the drives that morning they identified the fault to the conference center, who took no action, and then they said they went to a machine learning test equipment manufacturer nearby, who was unable to evaluate/troubleshoot due to the limits of their equipment. So, they came several aisles over to the MotorDoc booth in which I grabbed the EMPATH and a few tools and went over to their booth.

Tech Tip: Capacitance Monitoring for Global VPI
Reprint from 2012

There are several ways of determining penetration of epoxy resins through the global VPI cycle. One of the ways is to perform the complete cycle and include ‘sacrificial coils’ held in a faugh-slot, then cut the coil into sections to ensure full penetration. The next is to perform capacitance measurements during the VPI cycle and to monitor the resulting curve, which also allows comparison when similar stators are processed. Optimally, a combination of both methods will increase the confidence that there has been good resin penetration.

EMPATH and ECMS and now the ECMS-E1
From incoming power to driven equipment EMPATH and ECMS technologies are providing advanced notification on system-wide defects. Little training required for applying and finding immediate condition of equipment and systems in plain English and no instrument 'training time' required - defects, energy losses, and more off the first set of data collected.

The ECMS-E1 is the next generation of the ECMS-1 and includes the ePlug in the box. All self contained and ready to use in your ethernet system or airgapped, as required. Flexible applications and security are the rule.

Contact us for more information:

Update: Energy Savings through the Application of Neutral harmonic Filters
We’ve performed some additional work on the project and updated the white paper.

It is established that neutral and ground harmonic content will load transformers and systems. Prior work has been limited as to the direct relationship of this additional loading on power consumption for a facility. Over the past 24 months applied research has been performed on the measured impact of neutral and ground harmonics and energy consumption in commercial and industrial facilities. In this paper we will discuss the application of an Onics Neutral Harmonic Filter in a single panel at a facility and the change in energy consumption before and after installation, as well as changes over a two-month period in similar loading conditions. Data collection for comparing neutral harmonic content was performed with an EMPATH™ data collection system. The addition of a test on the impact of remaining neutral harmonics is included related to timing and devices.
 
About MotorDoc LLC
MotorDoc® LLC is an approved small business federal contractor through SAM.gov. Contact us with any questions.

MotorDoc® LLC is a specialized motor systems consultant and field testing. MotorDoc® LLC provides the EMPATH and EmpathCMS electrical signature data collection and continuous monitoring systems.

Predictive maintenance, machine learning and AI, root cause analysis and electrical reliability programs.

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