Study on the Algorithm of Vibration Source Identification Based on the Optical Fiber Vibration Pre-Warning System

Hongquan QU; Xuecong REN; Guoxiang LI; Yonghong LI; Changnian ZHANG

doi:doi:10.1007/s13320-015-0245-0

Photonic Sensors, 2015, 5 (2): 180–188, Published Online: Apr. 20, 2015

Study on the Algorithm of Vibration Source Identification Based on the Optical Fiber Vibration Pre-Warning System

论文大纲

Hongquan QU Xuecong REN ^*Guoxiang LI Yonghong LI Changnian ZHANG

Author Affiliations

College of Information Engineering, North China University of Technology, Beijing, 100144, China

Optical fiber vibration pre-warning system (OFVWS) vibration source identification attribute feature model energy information entropy fundamental frequency stability

Abstract

One of the key technologies for optical fiber vibration pre-warning system (OFVWS) refers to identifying the vibration source accurately from the detected vibration signals. Because of many kinds of vibration sources and complex geological structures, the implement of identifying vibration sources presents some interesting challenges which need to be overcome in order to achieve acceptable performance. This paper mainly conducts on the time domain and frequency domain analysis of the vibration signals detected by the OFVWS and establishes attribute feature models including an energy information entropy model to identify raindrop vibration source and a fundamental frequency model to distinguish the construction machine and train or car passing by. Test results show that the design and selection of the feature model are reasonable, and the rate of identification is good.

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Hongquan QU, Xuecong REN, Guoxiang LI, Yonghong LI, Changnian ZHANG. Study on the Algorithm of Vibration Source Identification Based on the Optical Fiber Vibration Pre-Warning System[J]. Photonic Sensors, 2015, 5(2): 180–188.

Study on the Algorithm of Vibration Source Identification Based on the Optical Fiber Vibration Pre-Warning System

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