Application of a novel fuzzy classifier to fault detection and isolation of the DAMADICS benchmark problem

Author:

Bocaniala Cosmin Danut,Sa da Costa Jose

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference25 articles.

1. Baker, E. (1978). Cluster analysis by optimal decomposition of induced fuzzy sets. Ph.D thesis, Delftse Universitaire Pres, Delft, Holland.

2. Bartys, M., Patton, R.J., Syfert, M., de las Heras, S., & Quevedo, J. (2004). Introduction to the DAMADICS Actuator FDI Benchmark Study. Control Engineering Practice.

3. Bocaniala, C.D. (2003). A fuzzy classifier for fault diagnosis of DAMADICS benchmark flow control valve. Technical Research Report within doctoral training, University Dunarea de Jos of Galati, Romania (http://www.gcar.dem.ist.utl.pt/Pessoal/Cosmin/publicat.htm, Research Reports section).

4. Bocaniala, C.D., & Sa da Costa, J. (2004a). Tuning the parameters of a fuzzy classifier for fault diagnosis: Hill-climbing vs. genetic algorithms. Sixth Portuguese conference on automatic control CONTROLO, 7–9 June 2004, Faro, Portugal, (pp. 349–354).

5. Bocaniala, C.D., & Sa da Costa, J. (2004b). Tuning the parameters of a fuzzy classifier for fault diagnosis: Particle swarm optimization vs. genetic algorithms. First international conference on informatics in control, automation and robotics ICINCO, 25–28 August 2004, Setubal, Portugal, (pp. 157–162).

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