The proposed leak diagnosis method not only detects the leak occurrence, but also identifies its location and size. Different feature extraction methods including statistical and wavelet-based techniques are applied. In this paper the leak diagnosis problem is viewed from a classification perspective. Dempster–Shafer classifier fusion approach is used to improve the performance of this method. This novel leak diagnosis approach only uses inlet pressure and outlet flow signals.
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