Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD
Joint Authors
Han, Dongying
Shi, Peiming
Su, Cuijiao
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
An adaptive stochastic resonance and analytical mode decomposition-ensemble empirical mode decomposition (AMD-EEMD) method is proposed for fault diagnosis of rotating machinery in this paper.
Firstly, the stochastic resonance system is optimized by particle swarm optimization (PSO), and the best structure parameters are obtained.
Then, the signal with noise is put into the stochastic resonance system and denoising and enhancing the signal.
Secondly, the signal output from the stochastic resonance system is extracted by analytical mode decomposition (AMD) method.
Finally, the signal is decomposed by ensemble empirical mode decomposition (EEMD) method.
The simulation results show that the optimal stochastic resonance system can effectively improve the signal-to-noise ratio, and the number of effective components of EEMD decomposition is significantly reduced after using AMD, thus improving the decomposition results of EEMD and enhancing the amplitude of components frequency.
Through the extraction of the rolling bearing fault signal feature proved that the method has a good effect.
American Psychological Association (APA)
Shi, Peiming& Su, Cuijiao& Han, Dongying. 2016. Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD. Shock and Vibration،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1120066
Modern Language Association (MLA)
Shi, Peiming…[et al.]. Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD. Shock and Vibration No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1120066
American Medical Association (AMA)
Shi, Peiming& Su, Cuijiao& Han, Dongying. Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1120066
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120066