Infrared and Laser Engineering, Volume. 53, Issue 8, 20240193(2024)

Research on feature selection algorithm for DVS vibration signal recognition rate improvement

Zhe MA1, Weizhe LI1,2, Jianzhong ZHANG1,2、*, Jian LI1、*, Tingyu WANG1,2, Xiang HE1,2, Binyuan YANG1,2, and Mingjiang ZHANG1,2
Author Affiliations
  • 1College of Physics and Optoelectronic Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • 2Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, China
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    Figures & Tables(10)
    Experimental setup diagram of distributed fiber-optic vibration sensing system
    Sudden search based on Metropolis criterion
    Flow chart of algorithm
    Experimental scenarios for data collection
    Time domain curves of different vibration events
    The relationship between the fitness values and iteration times (or thresholds) of feature subsets selected by different methods in shearing and hammering datasets
    The relationship between the fitness values and iteration times (or thresholds) of feature subsets selected by different methods in shaking and climbing datasets
    The maximum fitness value of different feature numbers in the dataset of shear and rod tapping
    • Table 1. Sample size, number of features and labels for each event type

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      Table 1. Sample size, number of features and labels for each event type

      Event typeSample sizeNumber of featuresTab
      Shearing1228150
      Hammering1260151
      Shaking1244152
      Climbing1323153
    • Table 2. The number and accuracy of selected features for different algorithms in the dataset

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      Table 2. The number and accuracy of selected features for different algorithms in the dataset

      Data setArithmeticNumber of featuresAccuracy
      Shearing and hammeringFisher Score130.8535
      SA90.9331
      FSSA100.9446
      Shaking and climbingFisher Score60.7854
      SA70.9215
      FSSA50.9339
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    Zhe MA, Weizhe LI, Jianzhong ZHANG, Jian LI, Tingyu WANG, Xiang HE, Binyuan YANG, Mingjiang ZHANG. Research on feature selection algorithm for DVS vibration signal recognition rate improvement[J]. Infrared and Laser Engineering, 2024, 53(8): 20240193

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    Paper Information

    Category:

    Received: May. 8, 2024

    Accepted: --

    Published Online: Oct. 29, 2024

    The Author Email: ZHANG Jianzhong (zhangjianzhong@tyut.edu.cn), LI Jian (lijian02@tyut.edu.cn)

    DOI:10.3788/IRLA20240193

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