Monitoring and Diagnosis Technique on Slewing Bearing

Abstract:

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Slewing bearing is widely used in engineering machinery, wind power generation, rotating restaurant and so on. Therefore, it is essentail to a study of monitoring and daiagnosis technique for slewing bearing. In this article, slewing bearing monitoring and diagnosis technique based on the singal of vibration, temperature, friction torque, acoustic emission, stress wave are introduced, including the methods of singal processing, especially Hilbert-Huang Transform (HHT), Ensemble Empirical Mode Decomposition–Based Multiscale Principal Component Analysis (EEMD-MSPCA) for local fault singal processing are detailed described. At last, various methods are compared.

Info:

Periodical:

Advanced Materials Research (Volumes 156-157)

Edited by:

Jingtao Han, Zhengyi Jiang and Sihai Jiao

Pages:

1478-1483

DOI:

10.4028/www.scientific.net/AMR.156-157.1478

Citation:

Z. J. Liu and J. Chen, "Monitoring and Diagnosis Technique on Slewing Bearing", Advanced Materials Research, Vols. 156-157, pp. 1478-1483, 2011

Online since:

October 2010

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Price:

$35.00

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