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An Interval Intelligent-based Approach for Fault Detection and Modelling

Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with this prevalent problem, in this paper we develop a methodology using Modal Interval Analysis which takes into account those uncertainties in the plant model. A fault detection method is developed based on this model which is quite robust to uncertainty and results in no false alarm. As soon as a fault is detected, an ANFIS model is trained in online to capture the major behavior of the occurred fault which can be used for fault accommodation. The simulation results understandably demonstrate the capability of the proposed method for accomplishing both tasks appropriately

IEEE

Author: Khosravi, Abbas
Armengol Llobet, Joaquim
Gelso, Esteban Reinaldo
Abstract: Not considered in the analytical model of the plant, uncertainties always dramatically decrease the performance of the fault detection task in the practice. To cope better with this prevalent problem, in this paper we develop a methodology using Modal Interval Analysis which takes into account those uncertainties in the plant model. A fault detection method is developed based on this model which is quite robust to uncertainty and results in no false alarm. As soon as a fault is detected, an ANFIS model is trained in online to capture the major behavior of the occurred fault which can be used for fault accommodation. The simulation results understandably demonstrate the capability of the proposed method for accomplishing both tasks appropriately
Document access: http://hdl.handle.net/2072/66789
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Anàlisi d’intervals (Matemàtica)
Control automàtic
Errors de diagnòstic
Sistemes dinàmics diferenciables
Automatic control
Differentiable dynamical systems
Diagnostic errors
Interval analysis (Mathematics)
Title: An Interval Intelligent-based Approach for Fault Detection and Modelling
Type: info:eu-repo/semantics/article
Repository: Recercat

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