Gear and bearing fault detection under variable operating conditions

Pavle Boškoski, Đani Juričić, and Mile Stankovski
Submission Type: 
Full Paper
Supporting Agencies (optional): 
Ad futura Programme of the Slovenian Human Resources and Scholarship Fund and Slovenian Research Agency through Research Programme P2-0001
AttachmentSizeTimestamp
phmc_10_017.pdf377.92 KBAugust 30, 2010 - 1:21am

The majority of the approaches to the fault detection in rotational machines assume constant and known operating conditions. These assumptions are often violated in practice. Therefore, in this paper we propose a set of features that can be utilized to reveal faults in gearboxes while being robust to fluctuations in operating speed and load. The proposed feature set comprises values of two information cost functions calculated from the coefficients of the wavelet packet transform accompanied by the maximal value of the spectral kurtosis. The fault detection capabilities of the proposed feature set were evaluated on a two--stage gearbox operating under different rotational speeds and loads with different types of mechanical faults.

Publication Control Number: 
017
Submission Keywords: 
wavelet transform
fault detection
spectral kurtosis
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