In this first video we kick off our upcoming project on using simple sound measurements to determine energy losses in equipment. This is a follow-up to our work on energy…
An overview of the recent meeting, standards in process, and other standards meant for testing electric machines of all sizes. This will kick off a few of these that will…
Following reading a few misleading articles on ESA and MCSA by others following the announcement of MotorDoc LLC's EMPOWER MCSA system, an introductory system to help users determine their ESA/MCSA…
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…
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…
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…
Using some real world production, energy and temperature data explore how a generative AI can be used to develop predictive models. In this case using ChatGPT 4o and o1. Interesting…
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…
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.…