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Research on De-noising Technique for Aero-Engine Vibration Signal Based on Median Filter-Singular Value Decomposition

  • Shunming Li
  • , Jiyong Li
  • , Sai Ma
  • , Tianwen Liu
  • , Xiaolu Zhang
  • , C. W. Lim

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    Since the measure of aero-engine vibration signals is interfered by the impulse noise and random noise, a new combined de-noising technique is proposed based on median filter-singular value decomposition (MF-SVD). The impulse noise and the random noise could be reduced by median filter and SVD separately. In order to determine the de-noising order of SVD, the energy difference spectrum was introducedtoimprove the de-noising capability of SVD. The medianfilter and improved SVD de-noising method were combined toreduce the impulse noise and random noise and the useful signals including the weak fault signals were extracted effectively. The combined technique is checked to be effective through the simulation and then it is applied to the fault analysis of aero-engine successfully. Finally, the proposed combined technique is proved to have good performance in the analysis of aero-engine vibration signals.
    Original languageEnglish
    Pages (from-to)539-550
    JournalJournal of Vibrational Engineering and Technologies
    Volume3
    Issue number5
    Publication statusPublished - 2015

    Research Keywords

    • Aero-engine
    • Fault diagnosis
    • Impulse noise
    • Median filter
    • SVD

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