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Journal ArticleDOI

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

01 May 1990-Automatica (Pergamon)-Vol. 26, Iss: 3, pp 459-474
TL;DR: 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).
Citations
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Journal ArticleDOI
D.N. Shields1
TL;DR: In this paper, a fault detection observer for a class of continuous singular bilinear descriptor systems subject to unknown inputs and faults is considered and the main observer design rests on the solution of a Riccati equation and the use of a quadratic Liapunov function.
Journal ArticleDOI
N. Eva Wu1
TL;DR: In this paper, the generalized parity space (GPS) method was used for failure detection and isolation (FDI) in uncertain systems, and an iterative algorithm was developed for optimizing the design of residual signal generators.
Proceedings ArticleDOI
01 Jan 1999
TL;DR: In this paper, a fault detection procedure for complex industrial systems is presented, which is based on a structural and hierarchical decomposition of the diagnosis, and different methods are used to generate a fault indicator signal for each subsystem.
Abstract: Presents a fault detection procedure for complex industrial systems. This approach is based on a structural and hierarchical decomposition of the diagnosis. Different methods are used to generate a fault indicator signal for each subsystem. The results are associated in order to take a local decision. A global decision, composed of local decisions relative to each sub-system is communicated to the human operator. The application of this concept to a waste water treatment plant is presented.
Journal ArticleDOI
TL;DR: In this paper , the authors proposed a predefined-time fault-tolerant attitude control methodology to tailless aircraft in the presence of external disturbance, input saturation, and possibly the infinite number of time-varying actuator faults.
References
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Journal ArticleDOI
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.

2,416 citations

Journal ArticleDOI
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.

2,367 citations

Journal ArticleDOI
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.
Abstract: The failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making. It is argued that a robust FDI system can be achieved by designing a robust residual generation process. Analytical redundancy, the basis for residual generation, is characterized in terms of a parity space. Using the concept of parity relations, residuals can be generated in a number of ways and the design of a robust residual generation process can be formulated as a minimax optimization problem. An example is included to illustrate this design methodology.

1,480 citations

01 Jan 1975
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.
Abstract: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed. The class of linear systems is concentrated on but the basic concepts, if not the detailed analyses, carry over to other classes of systems. The methods surveyed range from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, to the development of jump process formulations. Tradeoffs in complexity versus performance are discussed.

1,451 citations