Research on Natural Gas Pipeline Leak Detection Algorithm and Simulation

摘要：

　　In order to improve detection accuracy and reduce false alarm rate,research on gas pipeline leakage algorithm has extremely important significance.In this paper based on long pipe negative pressure wave algorithm,the adaptive Kalman filter detection method is proposed,which can overcome the shortage of wavelet transform method.An adaptive detection model is established using the data collected by pressure sensor.The location of leakage point can be calculated by time difference between the upstream and downstream through the Kalman Filter.The relative error and false alarm rate are estimated.Experimental results show that the improved method can reduce the false alarm rate.The adaptive Kalman filter detection method provides a useful method for the detection of natural gas pipeline leakage.

关键词： Negative pressure wave Wavelet transform Adaptive Kalman filtering Detection technology

作者: Daiyong Zhou

作者单位: College of Automation,Chongqing University of Posts and Telecommunications,Chongqing no.2 Chongwen Road,Nanan District,Chongqing 400065,Peoples Republic of China

会议类型: 国际会议

会议名称: The 2015 Chinese Intelligent Automation Conference(2015中国智能自动化会议)

会议地点: 福州

会议语种:英文

页码: 355-361

在线出版日期: 2015-05-08（万方平台首次上网日期，不代表论文的发表时间）