Media bias is not only found related to politics and public policy, but also how we perceive the reliability and maintenance community. From advertising dollars and marketing being presented as technical articles and information to the idea that ‘digital transformation’ solves everything, or that infrared is a complete electrical reliability program. As noted in my…
When dealing with statistical analysis and probabilities its often the missing information that can be an issue. This can result in bias when working in areas such as reliability, data science and machine learning that result in incorrect solutions. We’ve seen that in such things as the percentage of type of motor failures, faulty IoT…
A common question we receive is: ‘what is the impact of voltage unbalance on temperature?’ With incoming power to facilities having challenges in many parts of the United States (and elsewhere) from aging grid and the rapid application of power electronics, this becomes a significant issue. Voltage unbalance is the variation from the average voltage…
The EMPATH™ family of Electrical Signature and Motor Current Signature Analysis (ESA/MCSA) systems go well beyond analyzing electric motors, generators and wind turbines. It provides prognostic and time to failure estimation (TTFE) capabilities for AC/DC electric motors, synchronous machines, servo motors, machine tools, generators – including utility scale, and transformers. Not only will it identify…
As I just mentioned to a friend – I seem to be waxing philosophical this past weekend as I complete reading “Wizard: The Life and Times of Nikola Tesla, Biography of a Genius,” by Marc J Seifer. I would not have tripped over this and several other excellent texts had I not started returning to…
Following is the code used to develop the script bringing the details developed in Parts I-VI together for classification and RUL/TTFE outputs in the Part VII article: (article to be posted by September 19, 2021. *Note: The code in this article is for demonstration purposes only and is not meant for real-world applications of this…
Following is the code used to create the voltage, current and power factor defect for the article which can be found here: Part V: Machine Learning (ML) With Raw Electric Motor Data | THE RAM REVIEW *Note: The code in this article is for demonstration purposes only and is not meant for real-world applications of…
For trying out the method described Mathworks (https://mathworks.com) provides 30 day trials of their personal and business versions of the Matlab and Simulink systems. The *.csv files created for this article series were developed within Matlab (Figure 2) using the code which follows. *Note: The code in this article is for demonstration purposes only and…
Two significant issues in wind power asynchronous generators are magnetic wedge loss and coil movement resulting in winding faults. Most of the time the failures occur unexpectedly or require borescope or visual inspections of the generator stators. In this paper we will identify how both conditions can be detected during operation through Electrical Signature Analysis. …
