Performance monitoring of aircraft PMSM based on soft computing technique

Abstract

Rigorous fault analysis (FA) referring to fault detection its level is important for maintenances to simplify as well as improves performance. The purpose of this study was to present a technique for the electronic diagnosis of switch defects in regular magnetic concurrent motors (PMSM) For Aircraft application. The performance level of the bridges of the thyristor and the device excitation diode is tracked in healthy and defective service processes. Extracted functionality in various procedures that use Decomposition of the Multi-Scale Wavelet (MSWD) to remove useful functionality. The functionalities of the MSWD are utilized to train the Autoregressive of the Nonlinear with Exogenous Model (NARX) that was Sequence of the method controlled to determine the level of the fault in an open circuit forming through a switch. Both models were evaluated and built based on simulated data, where the findings demonstrated a preferable efficacy in the diagnosis of different kinds of faults.