Parametric signal processing approach
Elhoussin Elbouchikhi, Mohamed Benbouzid · Institution of Engineering and Technology eBooks · 2020
This chapter addresses the issue of condition monitoring based on MCSA using parametric spectral estimation techniques and detection theory. This approach is used for fault characteristics estimation. Then, generalized likelihood ratio test (GLRT) is used for automatic decision-making. The proposed fault detection approach uses fault frequency signature bins and amplitude estimators, and a fault decision module based on statistical tools. MLE is used for fault characteristics computation. Then, composite hypothesis testing is used as a decision module. The main objective is to discriminate the healthy induction motor from a faulty one. Finally, a fault severity measurement criterion is proposed and demonstrated for several induction motor fault detection.