title: A complete procedure for leak detection and diagnosis in a complex heat exchanger using data-driven fuzzy models.
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.
authors.affiliation: University of Boumerdès, Laboratoire d'Automatique Appliquée, FHC, Boumerdès, Algeria. habbi_hacene@hotmail.com
authors.forename: Hacene
authors.initials: H
authors.lastname: Habbi
authors.forename: Michel
authors.initials: M
authors.lastname: Kinnaert
authors.forename: Mimoun
authors.initials: M
authors.lastname: Zelmat
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003628:Database Management Systems; D016208:Databases, Factual; D004868:Equipment Failure; D019544:Equipment Failure Analysis; D005246:Feedback; D017143:Fuzzy Logic; D006361:Heating / Q000295:instrumentation*; D008962:Models, Theoretical; D011786:Quality Control