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A complete procedure for leak detection and diagnosis in a complex heat exchanger using data-driven fuzzy models
Hacene Habbi1, Michel Kinnaert, Mimoun Zelmat
1University of Boumerdès, Laboratoire d'Automatique Appliquée, FHC, Boumerdès, Algeria. habbi_hacene@hotmail.com
Abstract:
In this paper, an efficient fuzzy model-based leak detection algorithm is designed for a pilot heat exchanger. A dynamic fuzzy model of the physical plant is first derived from input-output measurements using a fuzzy clustering technique. This model is run in parallel to the process for symptom generation. The leak detection mechanism has been tested and validated on the real co-current heat exchanger, and has proven to be efficient in detecting leaks of different magnitudes in the water circulation pipe.

