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Induction Motor Fault Detection Techniques by sivaramkri is a document available to read on EtoBox.

What is Induction Motor Fault Detection Techniques about?

This document summarizes a research paper that studied using neuro-fuzzy techniques like adaptive neural fuzzy inference systems (ANFIS) and multi-layer perceptron neural networks (MLP NN) to detect stator inter-turn faults in three-phase induction motors. The paper develops an ANFIS detection strategy and compares its performance to an MLP NN. Both techniques use monitoring of the three phase shifts between line currents and phase voltages as inputs to detect faults. The document reviews prior research on

Author
sivaramkri
Language
EN