Abstract
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.
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Zhou, D. (2015). Research on Natural Gas Pipeline Leak Detection Algorithm and Simulation. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_36
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DOI: https://doi.org/10.1007/978-3-662-46463-2_36
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