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

Author

Listed:
  • Zhu Huijie
  • Wang Xinqing
  • Li Yanfeng
  • Liu Tianshuai

    (College of Field Engineering, PLA University of Science and Technology, Nanjing210007, China)

  • Liu Mengxi

    (Taicang State Taxation, Suzhou215400, China)

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.

Suggested Citation

  • Zhu Huijie & Wang Xinqing & Li Yanfeng & Liu Tianshuai & Liu Mengxi, 2015. "Bearing Fault Diagnosis Using Orthogonal Matching Pursuit with Pulse Atoms Based on Vibration Model," Journal of Systems Science and Information, De Gruyter, vol. 3(2), pages 164-175, April.
    • Handle: RePEc:bpj:jossai:v:3:y:2015:i:2:p:164-175:n:6
    DOI: 10.1515/JSSI-2015-0164
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