Fault diagnosis based on Walsh transform and rough sets

作者：Xiang Xiuqiao; Zhou Jianzhong^*; Li Chaoshun; Li Qingqing; Luo Zhimeng

来源：Mechanical Systems and Signal Processing, 2009, 23(4): 1313-1326.

DOI：10.1016/j.ymssp.2008.10.004

• Fault diagnosis
• Walsh transform
• Rough sets
• Discernable matrix
• Attribution reduction

An accurate and fast method for fault diagnosis is an important issue most techniques have sought to. For this reason, a fast fault diagnosis method based on Walsh transform and rough sets is proposed in this paper. Firstly, fault signals are fast transformed by Walsh matrix, and the Walsh spectrums are obtained, whose statistical characteristics constitute feature vectors. Secondly, the feature vectors are discretized and reduced by the rough sets theory, as a result, key features are retained and diagnosis rules are provided. Finally, utilized these diagnosis rules, fault diagnosis is carried out experimentally in the spectrum domain and its performance is compared with that of other methods, the higher accuracy is achieved and much time is saved, which fully validates the effectiveness of our approach.

• 出版日期2009-5
• 单位华中科技大学