Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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TLDR
In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.About:
This article is published in Automatica.The article was published on 1990-05-01. It has received 3313 citations till now. The article focuses on the topics: Fault detection and isolation & Robustness (computer science).read more
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Position and Attitude Model-Based Thruster Fault Diagnosis: A Comparison Study
TL;DR: In this article, a robust residual generation design approach based on eigenstructure assignment is presented to detect and isolate a single thruster fault affecting a chasing spacecraft during rendezvous with a passive target in a circular orbit.
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A novel distributed approach to robust fault detection and identification
TL;DR: In this paper, a distributed robust fault detection and identification (RFDI) scheme for a class of nonlinear systems is proposed, where a robust fault tracking approximator (RFTA) is designed for online health monitoring.
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Model-Based Fault Detection for an Actuator Driven by a Brushless DC Motor
TL;DR: In this paper, a real-time fault detection approach for a brushless DC motor driving a mechanical actuation system is presented, which is controlled by a PWM inverter using rectangular current excitation.
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Support vector machines combined to observers for fault diagnosis in chemical reactors
TL;DR: In this paper, a hybrid data/model-based approach is proposed for fault detection and isolation for chemical reactions in jacketed stirred vessels, where an observer is used as a starting point to develop an observer for fault isolation.
References
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Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
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Process fault detection based on modeling and estimation methods-A survey
TL;DR: This contribution presents a brief summary of some basic fault detection methods, followed by a description of suitable parameter estimation methods for continuous-time models.
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Analytical redundancy and the design of robust failure detection systems
E. Chow,Alan S. Willsky +1 more
TL;DR: In this article, a robust failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making, and it is argued that a robust FDI system can be achieved by designing a robust residual generation process.
A survey of design methods for failure detection in dynamic systems
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.