Podcast 49 Using Generative AI to Develop a Motor Current Signature Analyzer with Lessons Learned

Podcast 49 Using Generative AI to Develop a Motor Current Signature Analyzer with Lessons Learned

October 12, 2024Posted inArtificial Intelligence, Data Science, Electric Machine, energy efficiency, ESG, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
A few lessons learned concerning MotorDocAI's work on a portable Motor Current Signature Analyzer using AI tools such as ChatGPT, GitHub Copilot, and other tools with Python and using Visual…

Podcast 49 The Innovation Lab Presentation on Energy and Emissions as Reliability and Maintenance KPI for the SMRP 2024 Cancelled Conference

October 6, 2024Posted inArtificial Intelligence, cybersecurity, Data Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, social engineering, Time to Failure Estimation, Uncategorized
Cancelling (or postponing) SMRP 2024 was a good call – The tropical storm turning to hurricane, Milton, is making its way to Florida.  Overall, everyone is giving positive feedback, United…
Podcast 48 A Tour of the MotorDoc EMPOWER Motor Current Signature Analyzer

Podcast 48 A Tour of the MotorDoc EMPOWER Motor Current Signature Analyzer

October 5, 2024Posted inData Science, Electric Machine, energy efficiency, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Remaining Useful Life, Time to Failure Estimation, Uncategorized
https://youtu.be/E01RuyWC1Xg A quick story and tour of the new MotorDoc EMPOWER motor current signature analyzer (EMPOWER - Electric Motor Performance Optimization Waveform Evaluation and Recognition). Extremely portable hardware that works…
Podcast 47 Performing Predictive RUL Example with ChatGPT Strengths and Weaknesses

Podcast 47 Performing Predictive RUL Example with ChatGPT Strengths and Weaknesses

September 28, 2024Posted inData Science, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Remaining Useful Life, skilled workforce, Time to Failure Estimation, Uncategorized
A demonstration of using ChatGPT and the NASA jet engine database (https://data.nasa.gov/Aerospace/CMAPSS-Jet-Engine-Simulated-Data/ff5v-kuh6/about_data) to develop a RUL and anomaly detection method. While the attempt fails due to problems with ChatGPT that…
Podcast 45 Can You Use ChatGPT 4o to Perform CBM Analysis of Your Data then Some Python and MatLab Coding from GPT 4o

Podcast 45 Can You Use ChatGPT 4o to Perform CBM Analysis of Your Data then Some Python and MatLab Coding from GPT 4o

September 7, 2024Posted inArtificial Intelligence, Data Science, Electric Machine, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
A discussion of how to use ChatGPT 4o to analyze CBM data from sound and csv files including live data collection via Python and MatLab using the new MotorDoc MCSA…
NETA Article Evaluating Wind Turbines with Electrical Signature Analysis

NETA Article Evaluating Wind Turbines with Electrical Signature Analysis

August 20, 2024Posted inAlternative Energy, Artificial Intelligence, Data Science, Electric Machine, energy efficiency, expert system, infrastructure, Internet of Things, Machine Learning, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
Electrical signature analysis (ESA) is a prognostic tool used to assess the performance and health of electric machine systems, including power quality and powertrain, by analyzing voltage and current waveforms.…