Industrial Motor Fault Classification using Deep Learning with IoT Implications


One of my first assignments as a new electrical engineering graduate was to diagnose and troubleshoot an out-of-service induction motor. The first step was to exam the symptoms of the fault and determine the root cause of failure. In order to do this, I required a specific diagnostic tool and a detailed testing procedure. Unfortunately, the diagnostic tool was unavailable in the short-term and the testing procedure required a minimum of 3 weeks to execute. I continue to think about this scenario and I classify it as an opportunity to improve the current standards for motor diagnostics and repair.

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