Research on EMD Noise Reduction Methods Applied in Signal Processing of Rolling Bearings

摘要

The running state of rolling element bearing often directly affects the performance of the whole machine, so the condition monitoring and fault diagnosis of rolling bearing has important practical significance and economic value. In this paper, aiming at noise reduction method which is one of the key technologies in bearing fault diagnosis, EMD denoising is summarized as two methods, i.e., threshold-based processing and filter-based processing. In threshold-based method, wavelet tbreshold-denoising is referenced; in filter-based method, two criterions are put forward according to the characteristic of faulty bearing vibration signal. Taking a simulated signal of faulty bearing as an example, the performance of the two methods is compared. As a result, filter-based EMD denoising method is more suitable to be a preprocessing means for bearing signal.