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

• Published in: Photonic sensors (Berlin) Vol. 5; no. 2; pp. 180 - 188
• Main Authors: Qu, Hongquan, Ren, Xuecong, Li, Guoxiang, Li, Yonghong, Zhang, Changnian
• Format: Journal Article
• Language: English
• Published: Heidelberg University of Electronic Science and Technology of China 01.06.2015; Springer Nature B.V
• Subjects: Lasers; Measurement Science and Instrumentation; Microwaves; Optical Devices; Optics; Photonics; Physics; Physics and Astronomy; Regular; RF and Optical Engineering; 光纤; 地质结构; 振动信号; 振动源; 特征模型; 识别算法; 预警系统; 频域分析; vibration source identification; energy information entropy; Optical fiber vibration pre-warning system (OFVWS); attribute feature model; fundamental frequency stability
• ISSN: 1674-9251; 2190-7439
• DOI: 10.1007/s13320-015-0245-0

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.