EmpathCMS: Fast, Non-Invasive Fault Detection for Wind Turbines

Allen Hall interviews Dr. Howard Penrose, president and founder of MotorDoc LLC, about the groundbreaking EmpathCMS electrical signature analysis system. Dr. Penrose explains how the technology can quickly and non-invasively detect developing faults in wind turbine components like generators, gearboxes, and bearings, helping to optimize maintenance and prevent unplanned downtime.



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Allen Hall: Welcome to the Uptime Wind Energy Podcast. I'm your host, Allen Hall. Our guest today is Dr. Howard Penrose, the president and founder of MotorDoc LLC, and the creator of the groundbreaking EnPath electrical signature analysis system. Dr. Penrose has over 30 years of experience in the field, authoring books, presenting at conferences worldwide, and providing training and consulting services to numerous industries, including wind energy.



The Empath system Dr. Penrose developed is a cutting edge tool for condition monitoring and predictive maintenance of electrical assets like motors, generators, and transformers. By analyzing the unique electrical signatures of equipment, Empath can detect developing faults early, preventing unplanned downtime, optimizing maintenance, and extending equipment life.



Howard, welcome to the program.



Howard Penrose: Thank you very much. And I just have to correct you on one thing. And that's the Empath system was actually originally developed at Oak Ridge National Labs and is is, construct, is basically built and maintained by Framatome ANP, which is International Nuclear Power Company.



We are their non nuclear distributor and researcher. Large portion of what we do at MotorDoc is research the applications for electrical signature analysis and develop the algorithms.



Allen Hall: So this is, we have a magician here today, so to speak, because the whole thing about wind energy and when you talk to the engineers is the vast majority of them are mechanical engineers.



Drivetrain, blades, right? They know a lot about how the turbine works mechanically. But it is an electrical machine. It's there to produce electricity. And that means there's a lot of electric motors and obviously one big generator on the turbine. And that's the heart of the system. And that's the part that we really need to work.



What? I think you guys have done is interesting because you're using the generator to diagnose things that are happening onside the turbine that are not only electrical, but mechanical. You want to explain how that works a little bit?



Howard Penrose: Okay. Well, with vibration analysis, for instance, I will use an accelerometer with a piezoelectric cell or some of the newer technologies that involve etching and certain other things of materials. And you put that on the casing of a machine, and you generate an electrical signal signal in that component, that accelerometer, for instance, or whatever other type of device it is for vibration. So you have to read all the movement of all the components inside the machine through the material.



through that transducer into something else that then translates that data in, either as a rules based system using squiggly lines or a machine learning based system, that kind of thing. Electrical signature analysis is exactly the same thing, except we use the air gap of the machine, whether it's a generator or a motor or a transformer, as our transducers, the little magnetic field.