Mechanical fault diagnosis method based on probability amplitude demodulation
LI Zhinong1， LIU Xiaoyu1， XU Qiaoqiao1， GU Shipeng2, MA Yaping2
1.Key Laboratory of Nondestructive Testing Technology of Ministry of Education,Nanchang Hangkong University, Nanchang 330063,China;
2. China Flight Test Research Institute, Xi’an 710089,China
Abstract：Based on a large number of AM and FM signals in mechanical equipment when mechanical faults occur, a mechanical fault diagnosis method based on probability amplitude demodulation is proposed. In the proposed method, probability theory is used to transform demodulation into a reasoning process. Then some prior knowledge is used to infer the uncertain problems to achieve the purpose of inference and demodulation. The simulation results show that the proposed method is significantly better than the traditional Hilbert envelope demodulation method. and the demodulated envelope obtained by the proposed method has a high degree of fitting with the original signal. Finally, the experiment of rolling bearing’s fault diagnosis further verifies the effectiveness of the proposed method, and the proposed method can effectively extract the fault features of rolling bearing.
Key words: Probability amplitude demodulation; Bayesian inference; fault diagnosis; rolling bearing.
李志农1，刘晓雨1，许巧巧1，谷士鹏2，马亚平2. 基于概率幅值解调的机械故障诊断方法研究[J]. 振动与冲击, 2022, 41(14): 218-225.
LI Zhinong1， LIU Xiaoyu1， XU Qiaoqiao1， GU Shipeng2, MA Yaping2. Mechanical fault diagnosis method based on probability amplitude demodulation. JOURNAL OF VIBRATION AND SHOCK, 2022, 41(14): 218-225.
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