A Combined Kalman Filter-Discrete Wavelet Transform Method for Leakage Detection of Crude Oil Pipelines

摘要：

The leakage detection system based on negative pressure wave method has been widely applied to crude oil pipelines. Aiming at its shortcomings in reducing false alarms and improving location precision,a combined Kalman filter discrete wavelet transform method for the leakage detection of crude oil pipelines has been proposed. In view of the nonstationarity of collected signals and excessive field noise,the Kalman filter (KF) is used for the pre-processing of pressure and flow signals at first,and then the leakage judgment and location of crude oil pipelines are carried out based on the filtered signals. The leakage location is obtained by extracting inflection points of the filtered pressure signal with the method of discrete wavelet transform (DWT). The field experiment results indicate that the method presented in this paper can reduce false alarm rate effectively and improve detection sensitivity and location precision.

关键词： crude oil pipeline leakage detection negative pressure wave Kalman filter discrete wavelet transform.

作者: Zhang Yu Li Jian Zeng Zhoumo Shijiu Jin

作者单位: State Key Laboratory of Precision Measuring Technology & Instruments,Tianjin University Tianjin 300072,P.R.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: 3214-3218

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）