Infrared and Laser Engineering, Volume. 53, Issue 8, 20240193(2024)
Research on feature selection algorithm for DVS vibration signal recognition rate improvement
Fig. 1. Experimental setup diagram of distributed fiber-optic vibration sensing system
Fig. 6. The relationship between the fitness values and iteration times (or thresholds) of feature subsets selected by different methods in shearing and hammering datasets
Fig. 7. The relationship between the fitness values and iteration times (or thresholds) of feature subsets selected by different methods in shaking and climbing datasets
Fig. 8. The maximum fitness value of different feature numbers in the dataset of shear and rod tapping
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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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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)