Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods

详细信息    查看全文

• 作者：Tianyang Wang ; Fulei Chu ; ^{chufl@mail.tsinghua.edu.cn} ; Qinkai Han ; Yun Kong
• 关键词：Compound faults ; Gearbox ; Rolling bearing ; Meshing resonance ; Spectral kurtosis ; MRgram ; Kurtogram ; Fault diagnosis
• 刊名：Journal of Sound and Vibration
• 出版年：2017
• 出版时间：31 March 2017
• 年：2017
• 卷：392
• 期：Complete
• 页码：367-381
• 全文大小：5778 K
• 卷排序：392

文摘

Kurtosis-based impulsive component identification is one of the most effective algorithms in detecting localized faults in both gearboxes and rolling bearings. However, if localized faults exist in both gear tooth and rolling bearing simultaneously it is difficult to tell the differences between the two types of defects. As such, this study proposes a new method to solve the problem by using the meshing resonance and spectral kurtosis (SK) algorithms together. In specific, the raw signal is first decomposed into different frequency bands and levels, and then the corresponding Kurtogram and MRgram are calculated via the fault SK analysis and the meshing index. Furthermore, the resonance frequency bands induced by localized faults of the gear tooth and rolling bearing are separately identified by comparing the Kurtogram and the MRgram. Finally, the compound faults are respectively detected using envelope analysis. The effectiveness of the proposed method has been validated via both simulated and experimental gearboxes vibration signals with compound faults.