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American Control Conference (ACC)

作者： Cai, Jia Jagannathan, S. Missouri Univ Sci & Technol Dept Elect & Comp Engn Rolla MO 65401 USA

ISBN: (纸本)9781467386821

A fault detection and isolation scheme is addressed for a class of linear distributed parameter systems (DPS) described by partial differential equations (PDE). In contrast to using ordinary differential equations (ODE) for describing DPS, in this paper, a filter based observer based on the linear PDE representation is proposed with an output measurement. A fault is declared active when the magnitude of the detection residual exceeds a predefined threshold. Upon detection, an actuator and a sensor fault isolation estimators are activated to identify the fault type when their isolation residual is below a predefined threshold and the other is above the threshold. When both actuator and sensor fault isolation estimator residuals are above their isolation thresholds, a state fault is considered to have occurred. Upon isolation, the magnitude of the fault parameter is identified. Finally, the performance of the fault detection and isolation scheme is demonstrated on a heat reactor system which is represented by linear parabolic PDEs.

关键词： fault detection and approximation isolation partial differential equation systems

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fault isolation in distributed parameter systems modeled by parabolic partial differential equations

Fault isolation in distributed parameter systems modeled by ...

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American Control Conference

作者： Jia Cai S. Jagannathan Department of Electrical & Computer Engineering Missouri University of Science and Technology (formerly University of Missouri-Rolla) Rolla 65401 USA

ISBN: (纸本)9781467386838

关键词： partial differential equation systems fault detection and approximation isolation fault isolation Defect detection Distributed parameter systems differential equation system Differential equations Partial differential equations actuators digital power system faults

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Sensor bias fault isolation in a class of nonlinear systems

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2005年第3期50卷 370-376页

作者： Zhang, XD Parisini, T Polycarpou, MM Intelligent Automat Inc Rockville MD 20855 USA Univ Trieste Dept Elect Elect & Comp Engn I-34100 Trieste Italy Univ Cyprus Dept Elect & Comp Engn CY-1678 Nicosia Cyprus Univ Cincinnati Dept Elect & Comp Engn & Comp Sci Cincinnati OH 45221 USA

This note presents a robust fault isolation scheme for a class of nonlinear systems with sensor bias type of faults. The proposed fault diagnosis architecture consists of a fault detection estimator and a bank of isolation estimators, each corresponding to a particular output sensor. Based on the class of nonlinear systems and sensor bias faults under consideration, the stability and learning properties of the fault isolation estimators are obtained, adaptive thresholds are derived for the isolation estimators, and fault isolability conditions are rigorously investigated, characterizing the class of nonlinear faults that are isolable by the proposed scheme. A simulation example is used to illustrate the effectiveness of the sensor bias fault isolation methodology.

关键词： fault detection and approximation fault isolation nonlinear adaptive estimator nonlinear uncertain systems sensor bias

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A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems

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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2002年第4期47卷 576-593页

作者： Zhang, XD Polycarpou, MA Parisini, T Intelligent Automat Inc Rockville MD 20855 USA Univ Cincinnati Dept Elect & Comp Engn & Comp Sci Cincinnati OH 45221 USA Univ Cyprus Dept Elect & Comp Engn CY-1678 Nicosia Cyprus Univ Trieste Dept Elect Elect & Comp Engn I-34127 Trieste Italy

This paper presents a robust fault diagnosis scheme for abrupt and incipient faults in nonlinear uncertain dynamic systems. A detection and approximation estimator is used for on-line health monitoring. Once a fault is detected, a bank of isolation estimators is activated for the purpose of fault isolation. A key design issue of the proposed fault isolation scheme is the adaptive residual threshold associated with each isolation estimator. A fault that has occurred can be isolated if the residual associated with the matched isolation estimator remains below its corresponding adaptive threshold, whereas at least one of the components of the residuals associated with all the other estimators exceeds its threshold at some finite time. Based on the class of nonlinear uncertain systems under consideration, an isolation decision scheme is devised and fault isolability conditions are given, characterizing the class of nonlinear faults that are isolable by the robust fault isolation scheme. The nonconservativeness of the fault isolability conditions is illustrated by deriving a subclass of nonlinear systems and of faults for which these conditions are also necessary for fault isolability. Moreover, the analysis of the proposed fault isolation scheme provides rigorous analytical results concerning the fault isolation time. Two simulation examples are given to show the effectiveness of the fault diagnosis methodology.

关键词： fault detection and approximation fault isolation nonlinear adaptive estimator nonlinear uncertain systems

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