DocumentCode :
551164
Title :
Fault diagnosis for rotor system based on complexity analysis
Author :
Zhang Shuai ; Qu Yanhuai ; Han Qingkai
Author_Institution :
Sch. of Inf. & Electron. Eng., Shandong Inst. of Bus. & Technol., Yantai, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4336
Lastpage :
4339
Abstract :
A nonlinear characteristic quantity analysis approach for distinguishing system chaos and nonlinear properties, complexity, is proposed and applied to rotor system with rub-impact at fixed limiters and oil whip fault diagnosis in this paper. Firstly, the theory and algorithm of complexity is introduced. And then combining with model, we utilize the approach together with Poincare map to analyze two groups of non-stationary fault signals from rotor system with rub-impact at fixed limiters and oil whip, respectively. Some conclusions are achieved and the results show that this method is an effective one to identify chaotic characteristic of non-stationary fault signals quantificationally. It can also provide a new way for nonlinear feature extraction and recognition of rotor system typical faults.
Keywords :
Poincare mapping; chaos; condition monitoring; fault diagnosis; feature extraction; impact (mechanical); mechanical engineering computing; rotors; signal processing; Poincare map; chaotic characteristic; complexity analysis; fixed limiters; nonlinear characteristic quantity analysis approach; nonlinear feature extraction; nonlinear properties; nonstationary fault signals; oil whip fault diagnosis; rotor system fault recognition; rub-impact; system chaos; Complexity theory; Fault diagnosis; Rotors; Shafts; Time frequency analysis; Vibrations; Chaotic Characteristic Analysis; Complexity; Fault Diagnosis; Non-stationary Signals; Poincaré Map; Rotor System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001508
Link To Document :
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