Practical Electrical Signature Analysis of Induction Machines Part 3

Practical Electrical Signature Analysis of Induction Machines Part 3

June 2, 2024Posted inArtificial Intelligence, cybersecurity, Data Science, Electric Machine, energy efficiency, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
Electrical Signature Analysis (ESA) is a powerful diagnostic tool used to assess the performance and health of induction motors by analyzing voltage and current waveforms. This article, Part 3 of…
NETA Article on Transformer Testing with Electrical Signature Analysis

NETA Article on Transformer Testing with Electrical Signature Analysis

May 16, 2024Posted inData Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
How Electrical and Current Signature Analysis is used with transformers to look at condition, waveforms, power quality, and condition including loose connections.  Enjoy!  Features the use of the EMPATH and…

MotorDoc Podcast 30 Rules Based vs Physical Model Based Technology and ESA

May 5, 2024Posted inData Science, Electric Machine, energy efficiency, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
A discussion of the difference between rules-based IoT, also known as 'expert systems,' and physical models (ML/AI) for condition-based maintenance. Demonstration of both as well as a case study of…

Podcast 29 Road Ramblings on Workforce including Interviews, New Generation, AI, ML, and the NE/IA SMRP Chapter

April 23, 2024Posted inArtificial Intelligence, cybersecurity, Data Science, Electric Machine, energy efficiency, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, skilled workforce, social engineering, Uncategorized
30 minutes of discussion related to workforce, loss of industry knowledge, interview experiences, and then a discussion of the AI/ML presentations at the NE/IA SMRP chapter meeting. https://youtu.be/--fR2JxaEJU

Podcast 26 Evaluation and Comparison of a Wind Turbine Using a Physical and Statistical Model Anomaly Detection and Expert System

March 30, 2024Posted inAlternative Energy, Artificial Intelligence, Data Science, Electric Machine, expert system, infrastructure, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Remaining Useful Life, Time to Failure Estimation, Uncategorized
Using trended data from an ESA system on a wind turbine (raw data not spectral) develop a quick anomaly detection system in ChatGPT then compare to an expert system analysis.…

Podcast 25 What is Anomaly Detection and Training in IIoT and How Can We Explore It Using ChatGPT

March 24, 2024Posted inArtificial Intelligence, Data Science, Electric Machine, energy efficiency, ESG, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Uncategorized
As discussed in prior podcasts, IIoT has some specific limitations in classification (identification) of specific defects or impending faults and AI has limits on identifying whether something is wrong as…

Podcast 24 Digital Transformation Positives and Negatives and yes a little more ChatGPT

March 17, 2024Posted inArtificial Intelligence, cybersecurity, Data Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, skilled workforce, Time to Failure Estimation, Uncategorized
Following a windpower powertrain meeting at Argonne National Labs with the National Renewable Energy Labs (NREL), OEMs, data scientists, end users, AI/ML/SCADA software designers and engineers, etc. a few things…

Podcast 21 Exploration of Electrical Signature Analysis with AI using ChatGPT

February 25, 2024Posted inArtificial Intelligence, Data Science, Electric Machine, energy efficiency, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Time to Failure Estimation, Uncategorized
Using EMPATH electrical signature analysis data discussing exploration of the data using LLM models with ChatGPT 4.0 as the example. 1 hour and 10 minutes. Additional exploration will be performed…