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Author:

Xu, Yong-Gang (Xu, Yong-Gang.) | Ma, Hai-Long (Ma, Hai-Long.) | Fu, Sheng (Fu, Sheng.) | Zhang, Jian-Yu (Zhang, Jian-Yu.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

The basic theory and mathematic model of parallel stochastic resonance (PSR), chaotic oscillator and difference resonance were expounded. The correlation analysis was applied to extract the same components from the output of difference SR in the PSR, thereby reduce the dependence on the system parameters. When the chaotic oscillator changing from chaos state to large-scale periodic state, the Hu moment invariant will have a distinct change. So the Hu moment invariant can be used to automatically quantify the phase state of chaotic oscillator. The linear relationship between the phase diagram size and signal amplitude is presented to make up for the shortage that differential oscillator can't detect the signal amplitude. Applying the three nonlinear methods to the fault diagnosis of mechanical equipments, the weak feature information of incipient fault was successfully extracted.

Keyword:

Signal detection Circuit oscillations Circuit resonance Stochastic systems Magnetic resonance Fault detection Failure analysis Stochastic models

Author Community:

  • [ 1 ] [Xu, Yong-Gang]Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Ma, Hai-Long]Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Fu, Sheng]Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Jian-Yu]Key Laboratory of Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Vibration Engineering

ISSN: 1004-4523

Year: 2011

Issue: 5

Volume: 24

Page: 529-538

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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