MotorDoc VLOG 81 Practical Electrical and Current Signature Analysis for Electric Machines and Plagiarism

Posted inElectric Machine, energy efficiency, ESG, Internet of Things, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
The presentation that was given at this year's EPRI CBMUG - and discussion of an unfortunate, but quickly becoming common, concern. In this presentation we will discuss the history of…

MotorDoc Vlog 80 Electrical Machinery Forensics An Intro

Posted inAlternative Energy, Artificial Intelligence, Data Science, Electric Machine, energy efficiency, infrastructure, Machine Learning, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, skilled workforce, social engineering, Time to Failure Estimation, Uncategorized
The course we gave at the 2025 IEEE Electrical Insulation Conference. The course starts with an overview of the RCFA process emphasizing the simple 5-why and complex analysis using PROACT.…
MotorDoc Vlog 77 An Intro to the Intent of IEEE 97 Diagnostic Test Methods of AC Electric Machinery with DC Voltage

MotorDoc Vlog 77 An Intro to the Intent of IEEE 97 Diagnostic Test Methods of AC Electric Machinery with DC Voltage

Posted inElectric Machine, expert system, Machine Learning, media, MotorDoc Podcast, Remaining Useful Life, skilled workforce, Time to Failure Estimation, Uncategorized
P97/D6.3, is a draft guide from the Institute of Electrical and Electronics Engineers (IEEE) focusing on diagnostic test methods for AC electric machinery using direct voltage. It outlines various direct…

MotorDoc Vlog 76 Evaluation of Wind Turbine Electrical and Mechanical Defects Due to Nacelle Circulating Currents

Posted inAlternative Energy, Data Science, Electric Machine, energy efficiency, ESG, MotorDoc Podcast, Power, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
Based on Dr. Penrose's IEEE EIC paper 'Evaluation of Wind Turbine Electrical and Mechanical Defects Due to Nacelle Circulating Currents,' as the practice session for the presentation. Introduction to how…

Introduction to Reliability Maintenance Energy and Emissions Tools as Key Performance Indicators

Posted inArtificial Intelligence, Data Science, Electric Machine, energy efficiency, ESG, Machine Learning, MotorDoc Podcast, Power, Power Quality, skilled workforce, Time to Failure Estimation, Uncategorized
In this free course we will cover some of the tools that can help you get started on tying your R&M to corporate Energy and Emissions goals. The majority of…

MotorDoc VLOG 73 Novel Approach to Commercial and Industrial Assessments for Energy and Reliability

Posted inElectric Machine, energy efficiency, ESG, infrastructure, MotorDoc Podcast, Power, Power Quality, skilled workforce, Time to Failure Estimation, Uncategorized
Electrical energy costs, due to changes in the generation side of power generation and infrastructure (grid) in addition to new loads such as datacenters (read as AI-driven growth), are about…
Electrical and Current Signature Analysis in Wind Generator Reliability

Electrical and Current Signature Analysis in Wind Generator Reliability

Posted inArtificial Intelligence, Data Science, Electric Machine, expert system, Internet of Things, Machine Learning, MotorDoc Podcast, Remaining Useful Life, Time to Failure Estimation, Uncategorized
This summer, 2025, MotorDoc and MotorDocAI are publishing multiple technical papers on NEW field research findings with ESA/MCSA using the EMPOWER MCSA and EMPATH ESA systems. In the papers we…
VLOG 71 AI Generated Podcast on Electrical and Current Signature Analysis including Supra Harmonics

VLOG 71 AI Generated Podcast on Electrical and Current Signature Analysis including Supra Harmonics

Posted inElectric Machine, energy efficiency, Internet of Things, MotorDoc Podcast, Power Quality, Remaining Useful Life, Time to Failure Estimation, Uncategorized
This VLOG was generated with AI and focus' on the application of Electrical and Current Signature Analysis (ESA/MCSA), particularly using systems developed by MotorDoc LLC, for detecting and diagnosing defects…