Fault Prediction of Six??phase Permanent Magnet Fault Tolerant Motor Based on Strengthening Buffer Operator
YANG Jie
LEI Xiaoben
LI Shuwei
LIU Xingwen
Abstract：A study of the fault prediction problem of permanent magnet fault??tolerant motor equipped in the aircraft actuation system is advantageous to monitoring aircraft health status accurately,and providing de-cision support for aircraft maintenance.For a permanent magnet fault??tolerant motor system in case of a hit from the outside,the traditional grey model is not high prediction accuracy.A new improved forecast method based on grey theory is proposed in the paper.The permanent magnet fault??tolerant motor is a complex system belonging to high order,nonlinear and strong coupling.The paper adopts a strengthening buffer operator to deal with data sequence,restore data,eliminate the interference of shock,and forecast the failure energy data sequence through the establishment of the basic model.The results show that the o-riginal sequence is processed by strengthening buffer operator,the prediction accuracy is increased to 96.3% above,the relative prediction error is reduced by 43.06% on average compared to the primitive se-quence basic model,and the fault prediction of the behavior is improved effectively.
Keywords：six??phase permanent magnet fault tolerant motorfault predictiongrey modelstrengthening buffer operator
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 24-27 )