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Fault detection of discrete event systems using an identification approach

by Stéphane Klein, Lothar Litz, Jean-jacques Lesage - Proceedings of the 16th IFAC World Congress, Paper Mo-E17-TO4, Prag , 2005
"... Abstract: In this paper, we focus on the identification of large-scale discrete-event systems for the purpose of fault detection. The properties of a model to be useful for fault detection are discussed. As appropriate model basis the nondeterministic autonomous automaton is chosen and metrics to ev ..."
Abstract - Cited by 14 (7 self) - Add to MetaCart
Abstract: In this paper, we focus on the identification of large-scale discrete-event systems for the purpose of fault detection. The properties of a model to be useful for fault detection are discussed. As appropriate model basis the nondeterministic autonomous automaton is chosen and metrics

Fault detection and identification of actuator faults using linear parameter varying models

by R. Hallouzi, V. Verdult, M. Verhaegen - In: Preprints of the 16th IFAC World Congress. Prague, Czech Rep , 2005
"... Abstract: A method is proposed to detect and identify two common classes of actuator faults in nonlinear systems. The two fault classes are total and partial actuator faults. This is accomplished by representing the nonlinear system by a Linear Parameter Varying (LPV) model, which is derived from ex ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract: A method is proposed to detect and identify two common classes of actuator faults in nonlinear systems. The two fault classes are total and partial actuator faults. This is accomplished by representing the nonlinear system by a Linear Parameter Varying (LPV) model, which is derived from

Application of Set Membership Identification for Fault Detection of MEMS

by Anthony Tzes
"... Abstract- In this article, a set membership (SM) identification technique is tailored to detect faults in micro-electromechanical systems. The SM-identifier estimates an orthotope which contains the system’s parameter vector. Based on this orthotope, the system’s output interval is predicted. If the ..."
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Abstract- In this article, a set membership (SM) identification technique is tailored to detect faults in micro-electromechanical systems. The SM-identifier estimates an orthotope which contains the system’s parameter vector. Based on this orthotope, the system’s output interval is predicted

Intelligent Sensor Fault Detection and Identification for Temperature Control

by unknown authors
"... Abstract: This paper addresses artificial intelligence and signal processing based online fault detection and identification. Fuzzy logic controller has been utilized for temperature control. Faults often cause undesired reactions, so to keep the system stable and to obtain an acceptable control per ..."
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Abstract: This paper addresses artificial intelligence and signal processing based online fault detection and identification. Fuzzy logic controller has been utilized for temperature control. Faults often cause undesired reactions, so to keep the system stable and to obtain an acceptable control

Online tribology ball bearing fault detection and identification

by B Ling , M M Khonsari - in Sensors and Systems for Space Applications , 2007
"... ABSTRACT We present a feasibility analysis for the development of an online ball bearing fault detection and identification system. This system can effectively identify various fault stages related to the evolution of friction within the contact in the coated ball bearings. Data are collected from ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
ABSTRACT We present a feasibility analysis for the development of an online ball bearing fault detection and identification system. This system can effectively identify various fault stages related to the evolution of friction within the contact in the coated ball bearings. Data are collected from

Fault detection and identification in a mobile robot using multiple-model estimation

by Stergios I. Roumeliotis, Gaurav S. Sukhatme , George A. Bekey - IN PROCEEDINGS OF THE 1998 IEEE INTERNATIONAL CONFERENCE INROBOTICS AND AUTOMATION, MAY1998 , 1998
"... This paper introduces a method to detect and identify faults in wheeled mobile robots. The idea behind the method is to use adaptive estimation to predict (in parallel) the outcome of several faults. Models of the system behavior under each type of fault are embedded in the various parallel estimato ..."
Abstract - Cited by 21 (4 self) - Add to MetaCart
This paper introduces a method to detect and identify faults in wheeled mobile robots. The idea behind the method is to use adaptive estimation to predict (in parallel) the outcome of several faults. Models of the system behavior under each type of fault are embedded in the various parallel

Data Driven Fault Detection and Identification of Wind

by Jianfei Dong, Michel Verhaegen
"... This paper applies a novel data driven fault detection and identification (FDI) approach to large-scale wind tur-bines. This new approach directly links subspace identifi-cation with fault detection and identification filter designs. Physical modeling of a wind turbine is bypassed. The FDI filters a ..."
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This paper applies a novel data driven fault detection and identification (FDI) approach to large-scale wind tur-bines. This new approach directly links subspace identifi-cation with fault detection and identification filter designs. Physical modeling of a wind turbine is bypassed. The FDI filters

Permanent Magnets Synchronous Machines Faults Detection and Identification

by Garance Vinson, Michel Combacau, Thomas Prado, Pauline Ribot
"... Abstract—The reported work is the design of a Fault Detection system for permanent magnet synchronous machines (PMSM). Two main faults occurring on these machines are identified as inter-turns short-circuits and rotor single pole demagnetization, and characterized. An analytical model of the PMSM is ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract—The reported work is the design of a Fault Detection system for permanent magnet synchronous machines (PMSM). Two main faults occurring on these machines are identified as inter-turns short-circuits and rotor single pole demagnetization, and characterized. An analytical model of the PMSM

Distributed identification of concurrent discrete event systems for fault detection purposes

by Matthias Roth, Jean-jacques Lesage Member, Lothar Litz Member , 2009
"... Abstract-An identification method for concurrent discrete event systems (DES) is presented. The purpose of the identified model is model-based fault detection in closed loop industrial DES such as production or manufacturing systems. The method consists of identifying an automata network with a scal ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract-An identification method for concurrent discrete event systems (DES) is presented. The purpose of the identified model is model-based fault detection in closed loop industrial DES such as production or manufacturing systems. The method consists of identifying an automata network with a

Algebraic Approaches for Fault Identification in Discrete-Event Systems

by Yingquan Wu, Christoforos N. Hadjicostis
"... Abstract—In this note, we develop algebraic approaches for fault identi-fication in discrete-event systems that are described by Petri nets. We con-sider faults in both Petri net transitions and places, and assume that system events are not directly observable but that the system state is periodical ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
-tional Petri net places small while retaining enough information to be able to systematically detect and identify faults when the system state becomes available. The end result is a redundant Petri net embedding that uses 2 additional places and enables the simultaneous identification of 2 1 transition faults
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