Efficient On-line Fault Diagnosis for Non-Linear Systems

Frank Hutter; Richard Dearden

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JOURNAL ARTICLE

Efficient On-line Fault Diagnosis for Non-Linear Systems

Frank Hutter Richard Dearden

Year: 2003 Vol: 20 (4)Pages: 347-52

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Abstract

of systems such as spacecraft and planetary rovers, and must often be performed on-board. Unfortunately, these systems frequently also have relatively little computational power to devote to diagnosis. For this reason, algorithms for these applications must be extremely efficient, and preferably anytime.

Keywords:

Particle filter Kalman filter Algorithm Computer science Fault (geology) Computation Gaussian Ensemble Kalman filter Extended Kalman filter Control theory (sociology) Artificial intelligence

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Bayesian Modeling and Causal Inference

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Efficient On-line Fault Diagnosis for Non-Linear Systems

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Citation History

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