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Proceedings Paper

Diagnosis of fault gearbox with wavelet packet decomposition and vector statistics method
Author(s): Xueping Ren; Wei Shao; Wensheng Ma
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Paper Abstract

Vibration signals from fault gearbox are usually complex with many different frequencies. As a result, it is difficult to find early symptoms of a potential fault in a gearbox. WPD (Wavelet Packet Decomposition) have been established as the most wide spread tool to disclose transient information in signals and wavelet packet filter is found to be very effective in detection of symptoms from vibration signals of a gearbox with early fatigue tooth crack. The paper presents a method to decompose the fault vibration signals with WPD and analysis the decomposed vectors with statistic algorithm to diagnosis the gearbox fault. The method is considered to be effective with the aim of gearbox fault detection and diagnosis.

Paper Details

Date Published: 31 December 2008
PDF: 6 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71304V (31 December 2008); doi: 10.1117/12.819735
Show Author Affiliations
Xueping Ren, Inner Mongolia Univ. of Science and Technology (China)
Wei Shao, Jiang Shan Heavy Industry Co., Ltd. (China)
Wensheng Ma, Inner Mongolia Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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