Gear and bearing fault detection under variable operating conditions



Published Oct 10, 2010
Pavle Boškoski Dani Juričić Mile Stankovski


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.

How to Cite

Boškoski, P. ., Juričić, D. ., & Stankovski, M. . (2010). Gear and bearing fault detection under variable operating conditions. Annual Conference of the PHM Society, 2(1).
Abstract 144 | PDF Downloads 143



fault detection, wavelet transform, spectral kurtosis

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