A Combined Qualitative/Quantitative Approach for Fault Isolation in Continuous Dynamic Systems

Manders, Eric; Narasimhan, Sriram; Biswas, Gautam; Mosterman, Pieter J.

doi:10.1016/s1474-6670(17)37409-8

Cited by 36 publications

(39 citation statements)

References 4 publications

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“…If a fault produces an immediate change in the residual, i.e., a discontinuity at the point of fault occurrence, then the magnitude symbol will be + or -, otherwise it will be 0. In previous work, we have proven that for parametric faults, the first change and subsequent slope provide all of the discriminatory evidence for qualitative fault isolation in dynamic systems [Manders et al, 2000]. Therefore, our fault signatures include two symbols: the magnitude change and slope of the residual signal.…”

Section: Fault Signaturesmentioning

confidence: 98%

Comprehensive Diagnosis of Complex Electrical Power Distribution Systems

Roychoudhury

Daigle

Biswas

et al. 2009

IFAC Proceedings Volumes

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Electrical power distribution systems are composed of heterogeneous components, which include continuous power sources, discrete relays, passive and active loads, and fastswitching power conversion subsystems. This heterogeneity introduces significant challenges for model-based diagnosis, such as building accurate models, and generating fast and accurate diagnoses while ensuring robustness to measurement noise and modeling errors. In this paper, we present a comprehensive methodology for the diagnosis of parametric and discrete faults in electrical power distribution systems that include dc and ac components. We use a hybrid bond graph modeling language to systematically develop computational models and algorithms for hybrid state estimation, robust fault detection, and efficient fault isolation. Simulation and experimental results on a real-world electrical power distribution system demonstrate the effectiveness of our methodology.

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Section: Fault Signaturesmentioning

confidence: 98%

Comprehensive Diagnosis of Complex Electrical Power Distribution Systems

Roychoudhury

Daigle

Biswas

et al. 2009

IFAC Proceedings Volumes

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“…More formally, a qualitative fault signature is expressed as: Given a fault f , and measurement m, a qualitative fault signature, F S(f m), of order k, is an ordered (k + 1)-tuple consisting of the predicted magnitude and 1 st through k th order time-derivative effects of a residual signal of measurement m, defined from the time point of occurrence of fault f , expressed as qualitative values: below normal (−), normal (0), and above normal (+). Typically k is chosen to be the order of the system [Manders et al, 2000].…”

Section: The Tcg Approachmentioning

confidence: 99%

“…[Pulido and Alonso, 2004] and analysis of temporal causal graphs [Mosterman and Biswas, 1999] [Manders et al, 2000] for diagnosis of continuous systems. These methods are based on the structural analysis of dynamic models, much like the ARR schemes developed by the FDI community.…”

Section: Introductionmentioning

confidence: 99%

Analytic Redundancy, Possible Conflicts, and TCG-based Fault Signature Diagnosis applied to Nonlinear Dynamic Systems

Biswas¹,

Bregón²,

Koutsoukos

et al. 2009

IFAC Proceedings Volumes

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Abstract:The FDI and DX communities have developed complementary approaches that exploit structural relations in the system model to find efficient solutions for the residual generation and residual evaluation steps in fault detection and isolation in dynamic systems. This paper compares three different structural techniques, two from the DX community and one from the FDI community. To simplify our comparison, we start with a common modeling approach that employs bond graphs. We describe the residual generation methods used by the three approaches, and apply them to a standard three tank configuration to demonstrate their diagnostic ability for continuous, nonlinear systems.

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“…Assuming that the system output is continuous and continuously differentiable except at the points of fault occurrence, the transient response after fault occurrence can be approximated by a Taylor series expansion [12]. Measurement transients are described using the magnitude and the derivative values of the residual signal [8].…”

Section: Qualitative Fault Isolationmentioning

confidence: 99%

Fault diagnosis of continuous systems using discrete-event methods

Daigle

Koutsoukos

Biswas

2007

2007 46th IEEE Conference on Decision and Control

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Abstract-Fault diagnosis is crucial for ensuring the safe operation of complex engineering systems. Although discreteevent diagnosis methods are used extensively, they do not easily apply to parametric fault isolation in systems with complex continuous dynamics. This paper presents a novel discreteevent system diagnosis approach for abrupt parametric faults in continuous systems that is based on a qualitative abstraction of measurement deviations from the nominal behavior. Our approach systematically generates a diagnosis model from bond graphs that is used to analyze system diagnosability and derive the discrete-event diagnoser. The proposed approach is applied to an electrical power system diagnostic testbed.

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A Combined Qualitative/Quantitative Approach for Fault Isolation in Continuous Dynamic Systems

Cited by 36 publications

References 4 publications

Comprehensive Diagnosis of Complex Electrical Power Distribution Systems

Comprehensive Diagnosis of Complex Electrical Power Distribution Systems

Analytic Redundancy, Possible Conflicts, and TCG-based Fault Signature Diagnosis applied to Nonlinear Dynamic Systems

Fault diagnosis of continuous systems using discrete-event methods

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