A Method of Gear Fault Detection based on Wavelet Transform
With the improvement of equipment intricacy and automation, it is more important for equipment failure diagnosis. In this paper, we propose a diagnostic model to automatically detect and identify faults in manufacturing processes by using a wavelet-based method. The idea behind our method is to use an image processing system that performs the following phases: image capturing, image preprocessing, determination of region of interest, object segmentation, computations of object features and decision-making. Moreover, the frequency spectrum analysis method and the gear, automatic monitoring system are introduced. Afterwards, the wavelet transform is used to decompose the vibration acceleration signals of ball bearing fualts to different scales, and the resonance frequency band is extracted. Finally, the analysis and validation have been done by using the gear box fault data The results show that the method is very effective.
gear boz fault diagnosis wavelet transformt
Xiangyu Zhao
Panzhihua University, Panzhihua 617000, China
国际会议
北京
英文
648-651
2009-07-24（万方平台首次上网日期，不代表论文的发表时间）