Affiliations: Department of DiPSE, Universitat Politècnica de Catalunya, Manresa, Spain | Department of LSI, Universitat Politècnica de Catalunya, Barcelona, Spain | Department of Computer Science, ETH Zurich, Zurich, Switzerland
Note: [] Corresponding author. Àngela Nebot, Department of LSI, Universitat Politècnica de Catalunya, Mòdul C6, Campus Nord, Jordi Girona Salgado 1-3, Barcelona 08034, Spain. Tel.: +34(93) 413 7783; Fax: +34(93) 413 7833. E-mails: toni@epsem.upc.edu, angela@lsi.upc.edu (À. Nebot), FCellier@Inf.ETHZ.CH (F.E. Cellier).
Abstract: This paper describes a fault diagnosis system (FDS) for non-linear plants based on fuzzy logic. The proposed approach, named VisualBlock-FIR, runs under the Simulink framework and enables early fault detection, isolation, and identification. During fault detection, the FDS should recognize that the plant behavior is abnormal, and therefore, that the plant is not working properly. During fault isolation/identification, the FDS should conclude, which type of failure has occurred. The enveloping and acceptability measures introduced in VisualBlock-FIR enhance the robustness of the overall process. The proposed approach is used for tackling faults of the DAMADICS benchmark, and the results are compared with those obtained by other FDS.
