A pseudo wavelet system-based vibration signature extracting method for rotating machinery fault detection-Reference-Cited by-同舟云学术

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A pseudo wavelet system-based vibration signature extracting method for rotating machinery fault detection

Published:2013-01-30 Issue:5 Volume:56 Page:1294-1306
ISSN:1674-7321
Container-title:Science China Technological Sciences
language:en
Short-container-title:Sci. China Technol. Sci.

Author:

Chen BinQiang,Zhang ZhouSuo,Zi YanYang,Yang ZhiBo,He ZhengJia

Publisher

Springer Science and Business Media LLC

Subject

General Engineering,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/s11431-013-5139-z.pdf

Reference23 articles.

1. Randall R B. Vibration-based Condition Monitoring: Industrial, Automotive and Aerospace Applications. New York: Wiley, 2011

2. Yan R Q, Gao R X. Energy-based feature extraction for defect diagnosis in rotary machines. IEEE T Instrum Meas, 2009, 58(9): 3130–3139

3. Peng Z K, Chu F L. Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography. Mech Syst Signal Pr, 2004, 18(2): 199–221

4. Wang S B, Huang W G, Zhu Z K. Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis. Mech Syst Signal Pr, 2011, 25(4): 1299–1320

5. Yuan J, He Z J, Zi Y Y, et al. Gearbox fault diagnosis of rolling mills using multiwavelet sliding window neighboring coefficient denoising and optimal blind deconvolution. Sci China Ser E-Tech Sci, 2009, 52(10): 2801–2809

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