In this paper, a multi-scale Kalman filtering model to track pressure under operating conditions, especially pipeline leak conditions, is proposed. By the model, the pressure data from pipeline system are decomposed and estimated at several scales. The estimates obtained by use of the new method are more accurate than the results based on Kalman filtering at single scale. The experimental results are provided to show the superiority of the proposed method.
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