Diagnosis of fault gearbox with wavelet packet decomposition and vector statistics method

Xueping Ren; Wei Shao; Wensheng Ma

doi:10.1117/12.819735

31 December 2008 Diagnosis of fault gearbox with wavelet packet decomposition and vector statistics method

Xueping Ren, Wei Shao, Wensheng Ma

Proceedings Volume 7130, Fourth International Symposium on Precision Mechanical Measurements; 71304V (2008) https://doi.org/10.1117/12.819735
Event: Fourth International Symposium on Precision Mechanical Measurements, 2008, Anhui, China

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.

Citation Download Citation

Xueping Ren, Wei Shao, and Wensheng Ma "Diagnosis of fault gearbox with wavelet packet decomposition and vector statistics method", Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71304V (31 December 2008); https://doi.org/10.1117/12.819735

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