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Mechanical systems and signal processing v.103, 2018년, pp.312 - 326   SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Repetitive transient extraction for machinery fault diagnosis using multiscale fractional order entropy infogram

Xu, Xuefang (Corresponding author. ); Qiao, Zijian ( ); Lei, Yaguo ( );
  • 초록  

    Abstract The presence of repetitive transients in vibration signals is a typical symptom of local faults of rotating machinery. Infogram was developed to extract the repetitive transients from vibration signals based on Shannon entropy. Unfortunately, the Shannon entropy is maximized for random processes and unable to quantify the repetitive transients buried in heavy random noise. In addition, the vibration signals always contain multiple intrinsic oscillatory modes due to interaction and coupling effects between machine components. Under this circumstance, high values of Shannon entropy appear in several frequency bands or high value of Shannon entropy doesn’t appear in the optimal frequency band, and the infogram becomes difficult to interpret. Thus, it also becomes difficult to select the optimal frequency band for extracting the repetitive transients from the whole frequency bands. To solve these problems, multiscale fractional order entropy (MSFE) infogram is proposed in this paper. With the help of MSFE infogram, the complexity and nonlinear signatures of the vibration signals can be evaluated by quantifying spectral entropy over a range of scales in fractional domain. Moreover, the similarity tolerance of MSFE infogram is helpful for assessing the regularity of signals. A simulation and two experiments concerning a locomotive bearing and a wind turbine gear are used to validate the MSFE infogram. The results demonstrate that the MSFE infogram is more robust to the heavy noise than infogram and the high value is able to only appear in the optimal frequency band for the repetitive transient extraction. Highlights A multiscale fractional order entropy infogram is proposed for machinery fault diagnosis. The entropy is calculated over a range of scales to extract fault signatures. The infogram is extended to fractional domain and the optimal fraction order is decided. The optimal band is selected by multiscale fractional order entropy infogram.


  • 주제어

    Multiscale fractional order entropy .   Infogram .   Repetitive transients .   Fault diagnosis .   Rotating machinery.  

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