Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021205(2019)
Identifying Optical Cable Faults in OTDR Based on Wavelet Packet Analysis and Support Vector Machine
[1] Lu J H[J]. Airborne bus technology research andsummary Electronic Test, 2017, 72-73.
[3] Yang W K[J]. Measuring joint loss with optical time domain reflectometry (five-point method)Optical Fiber & Electric Cable and Their Application, 1984, 25-28.
[7] Zhou H S. The application study on fiber monitoring system based on wavelet transform[D]. Beijing: Beijing Jiaotong University(2008).
[9] Kong H. Research on events analysis algorithms in optical time domain reflectometry[D]. Shanghai: Shanghai Jiao Tong University(2015).
[10] Li J. The applied research of OTDR curve analytic technique in optical fiber fault diagnosis[D]. Baoding: North China Electric Power University(2011).
[11] Zhu X X. Research on rotating machine fault diagnosis and prediction method based on support vector machine[D]. Baoding: North China Electric Power University(2013).
[14] Shi Q L, Lin J[J]. Correlation analysis method based on wavelet packet decomposition and energy feature extraction Acoustics and Electronics Engineering, 2010, 18-20, 24.
[17] Li Q H[M]. Introduction to sonar signal processing(2012).
[20] Wang S T, Zhang C X, Wang Z F et al. Application of least squares support vector machine in fluorescence detection of sodium methylparaben[J]. Laser & Optoelectronics Progress, 54, 073001(2017).
[21] Zhang Y J, Wang H M, Fu X H et al. Identification of steel plate damage position based on particle swarm support vector machine[J]. Chinese Journal of Lasers, 44, 1006006(2017).
[22] Li D, Zhou K F, Sun W D et al. Application of BP neural network and SVM in mine environmental assessment[J]. Arid Land Geography, 38, 128-134(2015).
[23] Zhan Y, Cheng H Z, Ding Y F et al. S-transform-based classification of power quality disturbance signals by support vector machines[J]. Proceedings of the CSEE, 25, 51-56(2005).
[24] Li Y M. The study of BP learning algorithm of artificial neural network and its application in face recognition[D]. Jinan: Shandong University(2012).
[25] Han L[J]. The Classification model of RS images based on artificial neural network: MLP Bulletin of Surveying & Mapping, 2004, 29-30.
[26] Ha Z Q, Yu H[M]. Neural network control(2009).
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Bin Li, Min Zhang, Heng Zhou, Junyi Li, Yun Ling, Lin Shi, Kun Qiu. Identifying Optical Cable Faults in OTDR Based on Wavelet Packet Analysis and Support Vector Machine[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021205
Category: Instrumentation, Measurement and Metrology
Received: Jul. 20, 2018
Accepted: Aug. 2, 2018
Published Online: Aug. 1, 2019
The Author Email: Heng Zhou (zhouheng@uestc.edu.cn)