Journal ArticleDOI
Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results
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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
Citations
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Neural networks applied to fault detection of a biotechnological process
M.J. Fuente,Pastora Vega +1 more
TL;DR: A new approach to fault detection and diagnosis is presented and assessed by using real data from experiments on the plant by the use of an on-line estimation technique and a backpropagation neural network to analyse the frequency content of some fault-indicating signal derived from the identification step.
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Actuator fault detection and interval reconstruction based on interval observers
TL;DR: In this paper, two reduced-order interval observers are constructed, and they are robust to the actuator faults in that the interval observer constructions are fulfilled without using the boundary information of the actuators.
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Adaptive Actuator Failure Identification for Microsatellites Under Closed-Loop Control
Yajie Ma,Bin Jiang,Gang Tao +2 more
TL;DR: This paper addresses the actuator failure identification problem of microsatellites in a stabilized feedback framework and proposes an adaptive failure identification scheme using multiple estimators and cost functions to identify the failed actuators for understanding vehicle health and protecting micros satellites.
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Sensor fault diagnosis based on energy balance evaluation: application to a metal processing.
TL;DR: The design of a residual generator for fault detection and isolation in the dynamic closed-loop systems based on the balance of energy which "enters" and "leaves" plants shows the effectiveness of the suggested approach when a sensor fault occurs.
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Distributed fault diagnosis for networked nonlinear uncertain systems
Hadi Shahnazari,Prashant Mhaskar +1 more
TL;DR: The proposed distributed FDI scheme is shown to be able to handle local faults as well as those that affect more than one subsystems, and the detectability index and isolability conditions are rigorously derived.
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.