A recognition method of petroleum pipeline safety-detection events using the largest lyapunov exponent and wavelet threshold de-noising

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 real-time, 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.