Title :
Model and expert knowledge based fault diagnosis for a heat exchanger
Author :
Treyer, Daniel ; Zogg, David
Author_Institution :
Inst. of Autom., Univ. of Appl. Sci. Northwestern Switzerland, Windisch, Switzerland
Abstract :
Heat exchangers are widely used in different industrial applications. This paper proposes a model based fault diagnosis system for heat exchangers based on parameter identification. Due to the physical meaning of the parameters, the definition of fuzzy rules to realize the fault classification is straightforward. A detailed thermodynamic model of a heat exchanger and a simplified state space model are described. The linear state space model is used for online parameter identification of the nonlinear process.
Keywords :
fault diagnosis; heat exchangers; parameter estimation; state-space methods; expert knowledge based fault diagnosis; fault classification; fuzzy rules; heat exchanger; industrial applications; linear state space model; model based fault diagnosis system; nonlinear process; online parameter identification; thermodynamic model; Fluids; Heating;
Conference_Titel :
Control and Fault-Tolerant Systems (SysTol), 2013 Conference on
Conference_Location :
Nice
DOI :
10.1109/SysTol.2013.6693909
