

Publisher: Trans Tech Publications
E-ISSN: 1662-7482|2015|789|587-591
ISSN: 1660-9336
Source: Applied Mechanics and Materials, Vol.2015, Iss.789, 2015-10, pp. : 587-591
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
The concept of vibration based condition monitoring technology has been developing at a rapid stage in the recent years suiting to the maintenance of sophisticated and complicated machines. Nowadays, wavelet analysis based signal processing technique is applied as effective tool for condition monitoring. The experimental studies were conducted on the gear testing apparatus to obtain the vibration signal from a healthy gear and an induced faulty gear. In this paper, two different techniques using Laplace wavelet as base function are used to characterize the fault in the gear signals, specifically wavelet enveloped power spectrum and wavelet kurtosis. The wavelet parameters are optimized using genetic algorithm to select most fault related features. A comparative study detailing features of fault characterization is also given in order to understand the effectiveness of both the wavelet based signal processing methods and their fault diagnosis capability.
Related content




Lead Acid Battery Analysis Using Spectogram
Applied Mechanics and Materials, Vol. 2015, Iss. 785, 2015-09 ,pp. :




GEARBOX FAULT DIAGNOSIS USING ADAPTIVE WAVELET FILTER
Mechanical Systems and Signal Processing, Vol. 17, Iss. 6, 2003-11 ,pp. :