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| Research of Phase Sensitive Optical Time Domain Reflectometer Based on Support Vector Machine |
| MA Shi-yang1,WANG Yu1,WANG Peng-fei1,LI Jun-chan1,BAI Qing1,LIU Xin1,JIN Bao-quan1,2 |
1.College of Physics and Optoelectronics, Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China
2. State Key Laboratory of Coal and CBM Co-mining, Jincheng, Shanxi 048012, China |
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Abstract In order to solve the problems of false alarm rates of vibration signals in the actual laying environment of optical fibers, a pattern recognition method based on wavelet energy spectrum and support vector machine (SVM) is introduced in the optical fiber vibration sensing system based on phase sensitive optical time domain reflectometer. Firstly, the optimal decomposition layer of wavelet energy spectrum analysis is set as 5 layers to extract feature vectors from the original signals. Then the classification of vibrations events are carried out under the “one to one method” multi-classification strategy of support vector machine. Considering the influence of experimental environment, three vibration patterns are carried out including walking through the fiber, striking on the fiber and jogging along the fiber. Finally, the accuracy rate, precision rate, recall rate and F value are used to evaluate the performance of support vector machine. According to the experimental results, this method has achieved 84.9% classification accuracy for vibration events.
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Received: 28 January 2021
Published: 18 May 2022
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2022, Vol. 43 
