Detecting Instrument Malfunctions in Control Systems

Clark, Robert N.; Fosth, Douglas C.; Walton, V. M.

doi:10.1109/taes.1975.308108

Cited by 199 publications

(42 citation statements)

References 3 publications

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“…A. 3 The probabilities of false alarm (FA) and missed detection (MD) for each overlapping fault in both detection schemes are known (not necessarily analytically) and are monotonic functions of thresholds.…”

Section: A Assumptionsmentioning

confidence: 99%

“…Several strategies have been proposed [1][2][3][4][5]7 to detect, diagnose, and reconfigure in the presence of faults. The Markov Decision Process (MDP) and variants have been considered to manage discrete system models, 5,8 while signal filtering, system identification, and adaptive control algorithms have been developed to manage physics-based (continuous) system models.…”

Section: Introductionmentioning

confidence: 99%

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Conflict Resolution Algorithms for Fault Detection and Diagnosis

Nasir

Atkins

Kolmanovsky

2011

Infotech@Aerospace 2011

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We present two approaches for conflict resolution between two fault detection schemes, detecting the same fault, via optimization with bounded adjustment of detection thresholds. In our first method, we assume initially that there is no conflict and optimize the thresholds of both schemes with respect to a partial cost function that penalizes false alarms and missed detections. Then we continuously update thresholds based on a comprehensive cost function that penalizes conflicts in addition to false alarms and missed detections. Our updates are bounded and controlled in such a way that the cost function always assumes the lowest possible cost as a function of thresholds. We make use of residual signals to minimize computational complexity. In our second method, we present a more general solution to the conflict resolution problem using a Markov Decision Process framework that generates an optimal policy for fault detection threshold. This method is computationally more complex but it is more general, does not require knowledge of residuals, and does not require initial optimization of the thresholds. We introduce an error signal that indicates failure in resolving the conflict using threshold updating in which case, a supervisor (human or computer) can be alerted and prompted to take a corrective action. We implemented our methods on a spacecraft attitude control thrustervalve system simulation with high noise. Our results show good performance and substantial reduction in conflicts under highly uncertain conditions.

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Section: A Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Conflict Resolution Algorithms for Fault Detection and Diagnosis

Nasir

Atkins

Kolmanovsky

2011

Infotech@Aerospace 2011

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“…Mehra & Peschon (1971) and Willsky & Jones (1974) use statistical approaches to fault diagnosis [3]. Clark, Fosth & Walton 1975) applied Luenberger observers [4]. Mironovsky (1980) proposed a residual generation scheme for the purpose of checking on the system input and output over a time limit [5].…”

Section: Introductionmentioning

confidence: 99%

Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

Prabakaran¹,

Kaushik²,

Mouleeshuwarapprabu³

et al. 2014

IJAREEIE

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Fault diagnosis is an ongoing significant research field due to the constantly increasing need for maintain ability, reliability and safety of industrial plants. The pneumatic actuators are installed in harsh environment: high temperature, pressure, aggressive media and vibration, etc. This influenced the pneumatic actuator predicted life time. The failures in pneumatic actuator cause forces the installation shut down and may also determine the final quality of the product. A fuzzy logic based approach is implemented to detect the external faults such as Actuator vent blockage, Diaphragm leakage and in correct supply pressure. The fuzzy system is able to identify the actuator condition with high accuracy by monitoring five parameters. The parameter selection is based on the committee of DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems). The Fuzzy Inference Systems were implemented in real time using MATLAB and the results prove that the system can effectively classify all the types of external faults.

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“…3 Hence, the first step for failure detection is to develop a mathematical algorithm that accentuates the residual signal when a fault has occurred in a system. So far, parity space (consistency checking 4,5 ) and observer-based methods 6,7 have been widely used for the residual generation. Once residual signals are detected, the next step is to separate the source of the failure, a so-called fault isolation.…”

Section: Introductionmentioning

confidence: 99%

Actuator Failure Detection Through Interaction Matrix Formulation

Koh

Dharap

et al. 2005

Journal of Guidance, Control, and Dynamics

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A novel technique is introduced to detect and isolate the failures of multiple actuators connected to a system. The failure of actuator considered in this study could be any type of erroneous input that is different from the commanded one. The interaction matrix technique allows the development of input-output equations that are only influenced by one target input. These input-output equations serve as an effective tool to monitor the integrity of each actuator regardless of the status of the other actuators. Although the procedure requires the knowledge of analytical model of the system being tested, the analytical redundancy can be experimentally predetermined through standard input-output-based system identification algorithms such as observer/Kalman-filter identification (OKID) and eigensystem realization algorithm (ERA). This method is capable of real-time actuator failure detection and isolation under any type of input excitation. Both numerical simulations of a spring-mass-damper system and a laboratory experiment using eight-bay NASA truss structure verify the feasibility of the proposed method.

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Detecting Instrument Malfunctions in Control Systems

Cited by 199 publications

References 3 publications

Conflict Resolution Algorithms for Fault Detection and Diagnosis

Conflict Resolution Algorithms for Fault Detection and Diagnosis

Fault Detection and Isolation Scheme for Pneumatic Actuator Using Sugeno-Type Fuzzy Inference System

Actuator Failure Detection Through Interaction Matrix Formulation

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