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Fast leak detection and location of gas pipelines based on an adaptive particle filter

Ming LiuShu ZangDonghua Zhou — 2005

International Journal of Applied Mathematics and Computer Science

Leak detection and location play an important role in the management of a pipeline system. Some model-based methods, such as those based on the extended Kalman filter (EKF) or based on the strong tracking filter (STF), have been presented to solve this problem. But these methods need the nonlinear pipeline model to be linearized. Unfortunately, linearized transformations are only reliable if error propagation can be well approximated by a linear function, and this condition does not hold for a gas...

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