MotorDoc Podcast 32 The Basics of ChatGPT for Technical Analysis

MotorDoc Podcast 32 The Basics of ChatGPT for Technical Analysis

https://youtu.be/aE9X0Qr0ZUs A review of the basics of ChatGPT 4o for technical use including use of csv files, MCSA/ESA, analysis of technical articles, exploring and research, technical writing and a bit…
Practical Electrical Signature Analysis of Induction Machines Part 3

Practical Electrical Signature Analysis of Induction Machines Part 3

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

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

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

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

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

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…