Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection



Published Jul 8, 2014
Bovic Kilundu Agusmian Partogi Ompusunggu Faris Elasha David Mba


Separation between non-deterministic and deterministic components of gearbox vibration signals has been considered as important signal processing step for rolling-element bearing fault diagnostics. In this paper, the performance of bearing fault detection after applying various discrete components removal (DCR) methods is quantitatively compared. Three methods that have become widely used, namely (i) time synchronous average, (ii) self adaptive noise cancellation (SANC) and (iii) cepstrum editing, were considered. The three DCR methods with different parameter settings have been applied to vibration signals measured on two different gearboxes. In general, the experimental results show that cepstrum editing method outperforms the other two methods.

How to Cite

Kilundu, B., Ompusunggu, A. P., Elasha, F., & Mba, D. (2014). Effect of parameters setting on performance of discrete component removal (DCR) methods for bearing faults detection. PHM Society European Conference, 2(1). https://doi.org/10.36001/phme.2014.v2i1.1538
Abstract 75 | PDF Downloads 74



vibration, Bearing Faults, Discrete Component Removal (DCR)

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