A Recognition Method of Petroleum Pipeline Safety-detection Events Using the largest Lyapunov Ezponent and Wavelet Threshold De-noising

摘要：

Aiming at the chaotic characteristics of petroleum pipeline safety detection signals,a recognition method for safety-detection events of petroleum pipeline based on the largest Lyapunov exponent and wavelet threshold de-noising was proposed,which is used in the distributed optical fiber petroleum pipeline safety detection system for the safety of pipeline. The system based on Mach-Zehnder optical fiber interferometer can identify different intrusion events which have occurred along the pipeline by detecting the vibration signals in realtime,extracting the largest Lyapunov exponent of the vibration signals by the Kantz method,and recognizing different intrusion events through the largest Lyapunov exponent.Finally,the signals obtained from the experiment field prove the effectiveness of this method in recognizing the typical abnormal events.

关键词： Optical fiber sensor Chaotic signal Pattern recognition largest Lyapunov ezponent Wavelet de-noising.

作者: Jingchuan Zhang Zhoumo Zeng Feng Hao Shijiu Jin

作者单位: State Key Laboratory of Precision Measuring Technology and Instruments University of TianJin TianJin,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 140-144

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）