An improved morphological filtering method and its application in bearing fault feature extraction

作者：Shen Chang Qing; Zhu Zhong Kui; Kong Fan Rang; Huang Wei Guo^*

来源：Journal of Vibration Engineering, 2012, 25(4): 468-473.

• Bearing fault
• Inner fault
• Localized defects
• Morphological filtering
• Periodic impulse
• Rolling bearings
• Rolling Element Bearing
• Rotary machine
• Structural characteristics
• Vibration signal

Rolling element bearings are one of the most important components in rotary machines and the fault diagnosis of bearing is of great significance. Localized defects in bearings tend to arouse periodical impulsive vibration, and the diagnosis of the bearing can be realized by detecting and extracting the impulsive components. Based on the structural characteristics of the signals, an improved morphological filtering method is proposed for periodical impulsive signal feature extraction.. The performance of the proposed method is validated by both simulated impulsive signal and vibration signals of defective rolling bearing with outer and inner faults. The result shows that the proposed method is effective in extracting periodic impulses and suppressing the noises of vibration signals.

• 出版日期2012
• 单位中国科学技术大学