NETA Article Evaluating Wind Turbines with Electrical Signature Analysis

NETA Article Evaluating Wind Turbines with Electrical Signature Analysis

Posted 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.…
Podcast 37 A Tour of the Analytics Portion of EMPATH Electrical Signature Analysis

Podcast 37 A Tour of the Analytics Portion of EMPATH Electrical Signature Analysis

Posted inAlternative Energy, Artificial Intelligence, Data Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
A tour of the settings and analysis capabilities of the EMPATH software - Part 1. A walk-through of a 50hp motor with a series of common conditions. Software version 8.0f.…
NETA Article on Transformer Testing with Electrical Signature Analysis

NETA Article on Transformer Testing with Electrical Signature Analysis

Posted 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…

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

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

Posted 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…

MotorDoc Podcast 19 Back to ESA Energy Vibration BS Industry Marketing and a Review from the WoW Presentation on ESA and Vibration Energy

Posted inData Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, media, MotorDoc Podcast, Power, Power Quality, skilled workforce, Uncategorized
A discussion of the industry, some of my driving music recommendations, vibration and energy, ESA time to collect and resolution, announcements, certified energy managers and Association of Energy Engineers, a…

Evaluation of Wind Turbine Generators and Transformers 2022 Paper

Posted inAlternative Energy, Data Science, Electric Machine, energy efficiency, expert system, infrastructure, Internet of Things, Power, Remaining Useful Life, Time to Failure Estimation, Uncategorized
Abstract—During field studies of Doubly-Fed Induction Generators (DFIG) and Singly-Fed Induction Generators (SFIG) transformer and generator failures several unusual conditions were detected. A combination of subsynchronous control interaction, sub-synchronous torsionalinteraction,…
Introducing MotorDocAI ECMS Energy Dashboards

Introducing MotorDocAI ECMS Energy Dashboards

Posted inAlternative Energy, Artificial Intelligence, cybersecurity, Data Science, Electric Machine, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
The combination of EMPATH ECMS-E1 and ECMS-32 energy and analytics data combined with the power of MotorDocAI artificial intelligence provides a deep dive into your energy consumption and impacts of…
Case Study Installation of Onics Ground and Neutral Filters and Energy Analysis with EMPATH During Installation

Case Study Installation of Onics Ground and Neutral Filters and Energy Analysis with EMPATH During Installation

Posted inArtificial Intelligence, cybersecurity, Data Science, energy efficiency, ESG, expert system, infrastructure, Internet of Things, Machine Learning, Power, Power Quality, Time to Failure Estimation, Uncategorized
With the increase of nonlinear loads in commercial and industrial facilities an increase in current flow and resulting kilowatt losses in grounds and neutrals are on the rise.  These generate…