• Laser & Optoelectronics Progress
  • Vol. 59, Issue 7, 0706004 (2022)
Hongquan Qu1、*, Xiang Ji1, Zhiyong Sheng1, Hongbin Qu2, and Ling Wang3
Author Affiliations
  • 1School of Information, North China University of Technology, Beijing 100144, China
  • 2International Business Department of China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang , HeBei 065000, China
  • 3Asia Pacific Branch of China Petroleum Pipeline Bureau Engineering Co., Ltd., Langfang , HeBei 065000, China
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    DOI: 10.3788/LOP202259.0706004 Cite this Article Set citation alerts
    Hongquan Qu, Xiang Ji, Zhiyong Sheng, Hongbin Qu, Ling Wang. Research and Application of Sample Entropy Feature Extraction Based on Local Mean Decomposition[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0706004 Copy Citation Text show less
    References

    [1] Li Q Y, Zhao M H, Ren X J et al. Construction status and development trend of Chinese oil & gas pipeline[J]. Oil-Gas Field Surface Engineering, 38, 14-17(2019).

    [2] Zhan Y G, Song Z K, Sun Z Y et al. A distributed optical fiber sensor system for intrusion detection and location based on the phase-sensitive OTDR with remote pump EDFA[J]. Optik, 225, 165020(2021).

    [3] Zhang Y L, Yu M, Chang T Y et al. Phase-sensitive optical time-domain reflectometric system pattern recognition method based on wavenet[J]. Acta Photonica Sinica, 50, 0306003(2021).

    [4] Zhu C H, Zhu R, Wang J P et al. Intrusion signal recognition of optical fiber security & protection system based on adaptive EMD[J]. Transducer and Microsystem Technologies, 39, 26-30(2020).

    [5] Qu H Q, Gong D J, Zhang C N et al. Feature extraction and recognition algorithm for fiber intrusion signals[J]. Laser & Optoelectronics Progress, 56, 130601(2019).

    [6] Jiang L H, Liu J S, Xiong X L et al. Research on intrusion signal extraction and recognition of optical fiber sensor perimeter[J]. Laser & Infrared, 47, 906-913(2017).

    [7] Smith J S. The local mean decomposition and its application to EEG perception data[J]. Journal of the Royal Society, Interface, 2, 443-454(2005).

    [8] Ma H Y, Wang X X, Ma F et al. Research progress of Φ-OTDR distributed optical fiber acoustic sensor[J]. Laser & Optoelectronics Progress, 57, 130005(2020).

    [9] Qu H Q, Wei B B, Zhang Z et al. Feature extraction method based on FDM energy entropy and its application on optical fiber vibration recognition[J]. Laser & Optoelectronics Progress, 58, 0706006(2021).

    [10] Han M H, Wu Y M, Wang Y M et al. Roller bearing fault diagnosis based on LMD and multi-scale symbolic dynamic information entropy[J]. Journal of Mechanical Science and Technology, 35, 1993-2005(2021).

    [11] Xing G X, Zhou Y Q. Fault diagnosis of rolling bearing based on LMD permutation entropy and LLE[J]. Coal Mine Machinery, 42, 164-166(2021).

    [12] Xiong X L, Zhang W T, Li M et al. Fiber-optic perimeter vibration signal recognition based on local mean decomposition and serial feature fusion[J]. Acta Optica Sinica, 39, 0206002(2019).

    [13] Cui H J. The on-line fault diagnosis of planetary gear box based on EMD-Hilbert[J]. Machine Design and Manufacturing Engineering, 49, 107-111(2020).

    [14] Rao Z R, Hu Y. Research on rolling bearing fault diagnosis based on EMD and Hilbert envelope spectrum analysis[J]. The Magazine on Equipment Machinery, 58-61(2019).

    [15] Quinn A, Lopes-Dos-santos V, Dupret D et al. EMD: empirical mode decomposition and Hilbert-Huang spectral analyses in python[J]. Journal of Open Source Software, 6, 2977(2021).

    [16] Luo Z Z, Lu X J, Zhou Y. EEG feature extraction based on brain function network and sample entropy[J]. Journal of Electronics & Information Technology, 43, 412-418(2021).

    [17] Cai J H, Wang X C. Method of power spectrum estimation based on LMD-Teager transformation[J]. Chinese Journal of Lasers, 42, 0315001(2015).

    [18] Li Q, Liang S Y, Song W Q. Revision of bearing fault characteristic spectrum using LMD and interpolation correction algorithm[J]. Procedia CIRP, 56, 182-187(2016).

    [19] Chen H, Xu Y, Qian S et al. Distributed fiber-optic ultrasonic sensor applied in detection of discharging fault of power cable joint[J]. Acta Optica Sinica, 41, 0306001(2021).

    [20] Zhang S H, He J P, Yu Q F et al. Multi-scale load identification system based on distributed optical fiber and local FBG-based vibration sensors[J]. Optik, 219, 165159(2020).

    [21] Zhu K, Zhou B, Wu H et al. Multipath distributed acoustic sensing system based on phase-sensitive optical time-domain reflectometry with frequency division multiplexing technique[J]. Optics and Lasers in Engineering, 142, 106593(2021).

    [22] Mahmoud S S, Visagathilagar Y, Katsifolis J. Real-time distributed fiber optic sensor for security systems: performance, event classification and nuisance mitigation[J]. Photonic Sensors, 2, 225-236(2012).

    [23] Wang Y P, Gong D J, Pang L P et al. RVFL-based optical fiber intrusion signal recognition with multi-level wavelet decomposition as feature[J]. Photonic Sensors, 8, 234-241(2018).

    [24] Song M P, Zhuang S W, Wang Y X. High-frequency vibration detection of phase-sensitive optical time-domain reflectometer[J]. Chinese Journal of Lasers, 47, 0506001(2020).

    Hongquan Qu, Xiang Ji, Zhiyong Sheng, Hongbin Qu, Ling Wang. Research and Application of Sample Entropy Feature Extraction Based on Local Mean Decomposition[J]. Laser & Optoelectronics Progress, 2022, 59(7): 0706004
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