A Location Method for Petroleum Pipeline Abnormal Vibration Events based on Independent Component Analysis
Zhang Jingchuan; Zeng Zhoumo; Cao Qingsong; Feng Hao; Jin Shijiu
State Key Laboratory of Precision Measurement Technology andZhang Jingchuan Zeng Zhoumo Cao Qingsong Feng Hao Jin Shijiu Instrument, Tianjin University, Tianjin 300072, China
Abstract：Abstract: Aiming at the limitation of conventional cross-correlation algorithm for time delay estimation, a cross-correlation algorithm for time delay estimation based on Independent Component Analysis (ICA) for location of petroleum pipeline abnormal vibration events was proposed, which was used in the distributed optical fiber petroleum pipeline safety detection system for the safety of pipeline. During the pipeline detection, the environment is very complicated, the correlated Gaussian noises impacts the accuracy of time delay estimation. ICA has good effect on removing the Gaussian interference and can protect the available signals effectively. This method used the de-noised signals by ICA to make cross-correlation analysis for time delay estimation. This method can suppress the correlated Gaussian noises effectively. Finally, compared with the results of the conventional cross-correlation algorithm, the simulation results and the signals obtained from the experiment field prove that the method can decrease the average error and mean square deviation of location results and improve location accuracy and consistency.
2011, Vol. 30 
