FBG Intrusion Recognition Algorithm Based on SVM

摘要：

　　The perimeter security alarm system,with the core of vibration sensor based on FBG optical fiber invented by Wuhan University of Technology optical fiber research center,uses the changes of optical fiber grating stress wavelength to detect intrusion.As FBG wavelengths change when under stress,the intrusion detection is identified by the combination of signals time domain and frequency band domain.However,it is difficult to classify the data of signals time domain and frequency band domain because of the complexity of the actual conditions and the diversity of interference and intrusion.Therefore,applying SVM to train and process the classification features extracted from the various data acquisition can help to obtain the corresponding support vector and weighting coefficient.As a result,the effective classification of the field test data can be achieved by using SVM template method.

关键词： FBG Data processing Classification SVM

作者: Jian Wang

作者单位: Wuhan University of Technology National Engineering Laboratory For Fiber Optic Sensing Technology Luoshi Road 122,Hongshan District of Wuhan City,Hubei,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 1422-1427

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）