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Vol. 160, Issue 12, December 2013, pp. 85-92




Approach to Identifying Raindrop Vibration Signal Detected by Optical Fiber
Hongquan QU, Shouwen LIU, Yongjiao WANG, Guoxiang LI

College of Information Engineering, North China University of Technology, Beijing, 100041 China
Tel.: +86-10-82313186, fax: +86-10-82316654
E-mail: qhqphd@163.com


Received: 23 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: Optical Fiber Vibration pre-Warning System (OFVWS) is widely applied to pipeline transportation, defense boundary and military base. One of its key technologies is signal feature extraction and vibration source identification. However, some harmless vibration signals often affect the reliability of this identification process due to the false alarms. Therefore, it is very important to identify various harmless vibration signals effectively. In this paper, we analyze the energy distribution feature of nature raindrop vibration signal detected by optical fiber. Based on this analysis, we develop an energy information entropy model and an approach to identify the harmless raindrop vibration signal. Study shows that the nature raindrop vibration signal can be detected and identified automatically by extracting the energy information entropy value and combining with the statistical detection method. The field tests result also showed that this approach based on energy information entropy model is able to effectively identify harmless raindrop vibration signal. Its identification probability is high and its false alarm and false recognition probability is low, hence the working performance of the OFVWS can be improved by using the presented approach.


Keywords: Fiber vibration sensors, Information Entropy, Feature extraction, Vibration signal, Variation coefficient.


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