Comb-Filtering-Based Signal Reconstruction for Bearing Fault Detection

摘要：

Faulty bearings generate impulsive vibrations during operation and this provides the basis for bearing fault detection by vibration measurement and analysis. However, in a situation where a mechanical system produces strong impulsive vibrations by its nature even when the system is in good condition, the traditional impulse detection based method for bearing fault diagnosis become ineffective. To solve this problem, this paper proposes a new methodology that first removes the strong impulses generated by normal operation of the system by comb-filtering of the original vibration signal in frequency domain, then reconstructs the time signal by inverse Fourier transform of the filtered spectrum, and finally calculates the crest factor of the reconstructed signal. The proposed method was proved effective in its application to highly impulsive plunger-pump-driving gearboxes.

作者: Keming WANG

作者单位: Shenyang Institute of Aeronautical Engineering, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）