Chinese Journal of Lasers, Volume. 46, Issue 3, 0304003(2019)
Application of Improved Empirical Mode Decomposition Algorithm in Fiber Bragg Grating Perimeter Intrusion Behaviors Classification
Fig. 3. Short time average zero-crossing rate distribution of intrusion signal. (a) Intrusion perturbation signal; (b) distribution of short time average zero-crossing rate
Fig. 5. Intrusion signal and short time average zero-crossing rate distribution before zeroing. (a) Intrusion signal; (b) short time average zero-crossing rate
Fig. 6. Intrusion signal and short time average zero-crossing rate distribution after zeroing. (a) Intrusion signal; (b) short time average zero-crossing rate
Fig. 7. Extracted intrusion signals. (a) Climbing; (b) colliding; (c) shearing; (d) nonintrusive; (e) touching
Fig. 8. Identification results of climbing signal. (a) IMF components; (b) frequency domain distribution
Fig. 9. Identification results of shearing signal. (a) IMF components; (b) frequency domain distribution
Fig. 10. Identification results of nonintrusive signal. (a) IMF components; (b) frequency domain distribution
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Yong Chen, Wangyue An, Huanlin Liu, Zhiqiang Liu, Lixin Zhou. Application of Improved Empirical Mode Decomposition Algorithm in Fiber Bragg Grating Perimeter Intrusion Behaviors Classification[J]. Chinese Journal of Lasers, 2019, 46(3): 0304003
Category: measurement and metrology
Received: Sep. 26, 2018
Accepted: Dec. 4, 2018
Published Online: May. 9, 2019
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