location:Home > 2020 Vol.3 Jun. No.3 > Feature extraction algorithm and Simulation of medical device fault signal

2020 Vol.3 Jun. No.3

  • Title: Feature extraction algorithm and Simulation of medical device fault signal
  • Name: Wen-juan Jiang
  • Company: Information Engineering College,Huanghe Science And Technology C
  • Abstract:

    The nonlinear feature of the rotating machinery signal in fault situation was extracted and researched based on the collected the vibration signal. And the extraction algorithm was researched. On the basis of the phase space reconstitution the recurrence plot (RP) algorithm was researched with the nonlinear time series analysis method. The inner feature of the recurrence plots was analyzed quantitatively, the feature called recurrence rate was extracted finally. Simulation result shows that the extracted feature has the function and property diagnosis of the machinery faults based on the RP and recurrence quantification analysis (RQA) methods and also with nice engineering application value.

  • Keyword: machinery, feature extraction, nonlinear
  • DOI: 10.12250/jpciams2020030110
  • Citation form: Wen-juan Jiang.Feature extraction algorithm and Simulation of medical device fault signal[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 95-97.
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Tsuruta Institute of Medical Information Technology
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