The Application of EMD and ARMA Bi-Cepstrum Fault Diagnosis Method in Gearbox of Overhead Traveling Crane

Abstract:

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For the time varying of signals, empirical mode decomposition (EMD) is occupied to modulate signals; auto-regressive moving average (ARMA) of higher accuracy is used to establish model for the signal principal components; then parametric bi-cepstrum estimation is implemented and fault feature is extracted. The test results about gearbox of overhead traveling crane indicate: the feature quefrency can be obtained through method of EMD and ARMA model parametric bi-cepstrum estimation.It is a kind of effective fault diagnosis and stability evaluation method.

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Edited by:

Jian Gao

Pages:

88-91

Citation:

H. B. Xu et al., "The Application of EMD and ARMA Bi-Cepstrum Fault Diagnosis Method in Gearbox of Overhead Traveling Crane", Advanced Materials Research, Vols. 308-310, pp. 88-91, 2011

Online since:

August 2011

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$41.00

[1] Norden E. HUANG, Zheng Shen, Steven R. Long, Manli C. Wu, Hsing H. Shih, Quang Zheng, Naichyuan Yen, Chichao Tung and Henry H. Liu: Proc. R. Soc. Lond. A. Vol. 454 (1998), p.903.

[2] Hui Li, Haiqi Zheng, Liwei Tang: Journal of, Vol. 25 (2006), p.65. (In Chinese).

[3] Bing Li, Peilin Zhang, Dongsheng Liu, Shuangshan Mib, Guoquan Rena and Hao Tian: JSV,Vol. 330(2011), p.2388.

[4] Chunchieh Wang, Yuan Kang, Pingchen Shen, Yeonpun Chang, Yuliang Chung: Expert Syst Appl,Vol. 37(2010), p.1696.