This paper presents a robust faultisolation scheme for a class of nonlinear systems with sensor bias type of faults. The proposed fault diagnosis architecture consists of a faultdetection estimator and a bank of iso...
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This paper presents a robust faultisolation scheme for a class of nonlinear systems with sensor bias type of faults. The proposed fault diagnosis architecture consists of a faultdetection 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 faultisolation estimators are obtained, adaptive thresholds are derived for isolation estimator, and fault isolability conditions arc rigorously investigated, characterizing the class of nonlinem faults that are isolable by the proposed scheme.
This paper proposes a novel vector-based approach towards isolation of faulty sensors in multivariate dynamic processes. The main contributions are: (1) a set of structured residual vectors is employed for fault isola...
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This paper proposes a novel vector-based approach towards isolation of faulty sensors in multivariate dynamic processes. The main contributions are: (1) a set of structured residual vectors is employed for faultisolation; (2) a unified scheme for isolation of single and multiple faulty sensors is proposed; and (3) the optimality of faultdetection and isolation is proven.
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