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| Application of improved difference filter in bearing fault diagnosis |
| WANG Jianguo, FAN Yerui, ZHANG Wenxing, ZHANG Chao |
| Institute of Mechanical Engineering, Inner Mongolia University of Science and Technology, Inner Mongolia Baotou 014010,China |
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Abstract Aiming at the problem of morphological difference filters existing frequency confusing in signal feature extraction, an improved differential filter’s signal processing method was proposed. According to characteristics of a differential filter’s inner structure, it was shown that a traditional morphological difference filter can’t identify positive and negative impact characteristics simultaneously to cause frequency confusion being difficult to recognize. Here, through improving the filter structure, Hat transform was used to recognize the dominant impact direction of a signal, and improve the filter’s ability to identify positive and negative impact characteristics. In order to verify the effectiveness of the proposed method, Numerical simulation and actual rolling element bearing fault diagnosis tests were conducted. The results showed that the improved morphological difference filter can distinguish positive and negative characteristics of fault features simultaneously to better avoid frequency confusion.
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Received: 05 December 2017
Published: 28 June 2019
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