Diagnosis of Incipient Failure of Gearbox Based on Signal Enhancement Technologies

Chuan Hui Wu; Yu Guo; Yu Liang; Hua Wen Zheng

doi:10.4028/www.scientific.net/AMR.490-495.1269

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495Diagnosis of Incipient Failure of Gearbox Based on...

Diagnosis of Incipient Failure of Gearbox Based on Signal Enhancement Technologies

Abstract:

This paper introduces some commonly used methods for gearbox incipient failure diagnosis. Mainly stresses on the combination of autoregressive model filter and minimum entropy deconvolution filter which is sensitive to the impulsive component of vibration signal, as the preprocessing technology. Envelop analysis is then utilized to extract characteristics of gearbox failures. Simulating and real experiments show the effectiveness of this method.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

1269-1272

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.1269

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Online since:

March 2012

Authors:

Chuan Hui Wu, Yu Guo, Yu Liang, Hua Wen Zheng

Keywords:

Autoregressive Model, Diagnostics, Gearbox Failure, Minimum Entropy Deconvolution

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References

[1] Guo Yu, Zheng Huawen, Gao Yan, Wu Tao，Envelope Analysis of Rolling Bearings Based on Spectral Kurtosis, Journal o f Vibration Measurement& Diagnosis (2011)31(4): 517-521.

Google Scholar

[2] R. RUBINI AND U. MENEGHETTI, Application of the envelope and wavelet transform analyses for the diagnosis of incipient faults in ball bearings, Mechanical Systems and Signal Processing( 2001), 15(2), 287 -302.

DOI: 10.1006/mssp.2000.1330

Google Scholar

[3] H. Endo, R.B. Randall, Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution ﬁlter, Mechanical Systems and Signal Processing 21 (2007) 906–919.

DOI: 10.1016/j.ymssp.2006.02.005

Google Scholar

[4] Jerome Antoni, Fast computation of the kurtogram for the detection of transient faults, Mechanical Systems and Signal Processing 21 (2007) 108–124.

DOI: 10.1016/j.ymssp.2005.12.002

Google Scholar