Fault Diagnosis of Rolling Element Bearing Based on Morphological filter and Grey Incidence

SHEN Lu;ZHOU Xiao-jun;Zhang Wen-bin;Zhang Zhi-gang

Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (11) : 17-20.

PDF(1055 KB)
PDF(1055 KB)
Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (11) : 17-20.
论文

Fault Diagnosis of Rolling Element Bearing Based on Morphological filter and Grey Incidence

  • SHEN Lu, ZHOU Xiao-jun, Zhang Wen-bin, Zhang Zhi-gang
Author information +
History +

Abstract

Considering the strong noise background and lack of sample in fault diagnosis of rolling element bearing, a rolling element bearing fault diagnosis method was proposed based on morphological filter and grey incidence. Fault characteristic could be extracted by morphological difference filter without considering frequency spectrum of vibration signal. The method of grey incidence has good performance in small-sample classification. It could be used in recognition of rolling element bearing fault pattern. Firstly, fault signal was filtered by morphological filter. Secondly, the characteristic frequency unitary amplitude extracted was considered as characteristic vector. Finally, fault pattern was classified by grey incidence between unknown pattern and standard fault pattern. Experiment results show that the method is effective.

Key words

morphological filter / grey incidence / difference filter / rolling element bearing fault diagnosis

Cite this article

Download Citations
SHEN Lu;ZHOU Xiao-jun;Zhang Wen-bin;Zhang Zhi-gang. Fault Diagnosis of Rolling Element Bearing Based on Morphological filter and Grey Incidence[J]. Journal of Vibration and Shock, 2009, 28(11): 17-20
PDF(1055 KB)

3093

Accesses

0

Citation

Detail

Sections
Recommended

/