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AI Yanting, TIAN Bowen, TIAN Jing. Frequency band optimization of Morlet complex wavelet and its application in fault diagnosis of inter-shaft bearing[J]. Journal of Aerospace Power, 2020, 35(1): 153-161. doi: 10.13224/j.cnki.jasp.2020.01.018
Citation: AI Yanting, TIAN Bowen, TIAN Jing. Frequency band optimization of Morlet complex wavelet and its application in fault diagnosis of inter-shaft bearing[J]. Journal of Aerospace Power, 2020, 35(1): 153-161. doi: 10.13224/j.cnki.jasp.2020.01.018
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Frequency band optimization of Morlet complex wavelet and its application in fault diagnosis of inter-shaft bearing

doi: 10.13224/j.cnki.jasp.2020.01.018

  • Key Laboratory of Advanced Measurement and Test Technology for Aviation Propulsion System,Liaoning Province,Shenyang Aerospace University,Shenyang 110136,China

  • Received Date: 2019-07-10
  • Publish Date: 2020-01-28
    Abstract
  • According to the characteristics of fault signal of inter-shaft bearing, a new band optimization parameter-the peak factor of local envelope spectrum, was proposed, which can not only reflect the strength of impulse component in the signal, but also highlight the characteristics of periodic impulse. It was applied to optimize the frequency band of Morlet complex wavelet resonance demodulation of fault signal of inter-shaft bearing. In order to verify the superiority of this method, a double-rotor test-bed was built to simulate the outer ring and inner ring faults of inter-shaft bearings. The Morlet complex wavelet optimized by the local envelope spectrum peak factor band was used to analyze the collected test data. Taking the inter-shaft bearing with the inner and outer ring speeds of 600 r/min as an example, the theoretical value of the outer ring fault frequency was 88 Hz, and the outer ring fault frequency obtained by the local envelope spectrum peak factor band optimization was 8725 Hz. The results show that the index can extract the peak fault frequency of the inter-shaft bearing, effectively separate the fault information from the vibration signal, and realize the fault diagnosis of the inter-shaft bearing.

     

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