Modern Manufacturing Engineering ›› 2017, Vol. 445 ›› Issue (10): 146-150.doi: 10.16731/j.cnki.1671-3133.2017.10.028

Previous Articles     Next Articles

Research on faulty diagnose for rotation machine based on multi-scale fuzzy entropy

Li Yongjun, Ma Liyuan, Cui Xinhan   

  1. Mechanical Engineering College,Shijiazhuang 050003,China
  • Received:2015-08-14 Online:2017-10-20 Published:2018-01-08

Abstract: From the angle of vibration signal complex for rotation machine,the construction of characteristic entropy is studied and a set of multi-scale fuzzy entropy is put forward to identify the vibration signal with different faulty.Accounting for theory defect of traditional faulty identification which depends on prior knowledge,the identification method based on variable predetermination model is instructed into faulty diagnose for rotation machine.The new method is applied in a living example,which show the method is effective.

Key words: multi-scale fuzzy entropy, rotation machine, Variable Predictive Model Based on Class Discriminate(VPMBCD), modal identification

CLC Number: 

Copyright © Modern Manufacturing Engineering, All Rights Reserved.
Tel: 010-67126028 E-mail: 2645173083@qq.com
Powered by Beijing Magtech Co. Ltd