Bearing Fault Diagnosis Using Orthogonal Matching Pursuit with Pulse Atoms Based on Vibration Model

Zhu Huijie (), Wang Xinqing, Li Yanfeng, Liu Mengxi and Liu Tianshuai
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Zhu Huijie: College of Field Engineering, PLA University of Science and Technology, Nanjing210007, China
Wang Xinqing: College of Field Engineering, PLA University of Science and Technology, Nanjing210007, China
Li Yanfeng: College of Field Engineering, PLA University of Science and Technology, Nanjing210007, China
Liu Mengxi: Taicang State Taxation, Suzhou215400, China
Liu Tianshuai: College of Field Engineering, PLA University of Science and Technology, Nanjing210007, China

Journal of Systems Science and Information, 2015, vol. 3, issue 2, 164-175

Abstract: In this paper, a new approach to rolling bearing diagnosis is proposed, which applied orthogonal matching pursuit with pulse atoms. Solving orthogonal matching pursuit with pulse atoms (OMP_PA) is an NP-hard problem. With the help of multi-population genetic algorithm, better solution is obtained, and the shortcoming of sensitiveness to parameters setting in genetic algorithm is improved. According to the comparisons with other algorithms, OMP_PA could precisely extract the pulse components, and the interferential components are almost filtered. The experiments show that, OMP_PA could determine the fault location of bearings, and clearly displayed the vibration model. In conclusion, it provides a new way to the diagnosis for bearings.

Keywords: orthogonal matching pursuit; fault diagnosis; pulse atom; multi-population genetic algorithm; atomic decomposition (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:bpj:jossai:v:3:y:2015:i:2:p:164-175:n:6

DOI: 10.1515/JSSI-2015-0164

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