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Journal ArticleDOI

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

Paul M. Frank
- 01 May 1990 - 
- Vol. 26, Iss: 3, pp 459-474
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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.
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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).

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Citations
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Patent

Multivariate detection of transient regions in a process control system

TL;DR: In this article, a first representation of the operation of the process, or coker heater, is generated based on a first set of the collected on-line process data generated from a set of process variables.
Journal ArticleDOI

A Re-Examination of Fault Detectability and Isolability in Linear Dynamic Systems

TL;DR: In this article, the authors re-examined the fault detectability and isolability of the residual signal of an inverted pendulum system with possible sensor, actuator and component faults.
Journal ArticleDOI

Detection of Additive and Multiplicative Faults - Parity Space vs. Parameter Estimation

TL;DR: In this article, the parity space approach with adaptive thresholds and the parameter estimation is used to detect and identify additive or multiplicative faults in a d.c.motor, and a combination of both methods is proposed to achieve optimal fault detection.
Proceedings Article

Multiplicative fault reconstruction using sliding mode observers

TL;DR: In this paper, a method for reconstructing multiplicative faults using a sliding mode observer is presented. But this method is based on previous work on reconstructing additive faults, and it is not suitable for the case of nonlinear systems.
Journal ArticleDOI

Adaptive fault diagnosis and fault-tolerant control of MIMO nonlinear uncertain systems

TL;DR: An integrated fault diagnosis and fault-tolerant control (FTC) methodology for a class of nonlinear multi-input–multi-output systems and it is shown that the system signals always remain bounded and the output tracking error converges to a neighbourhood of the origin of the state space.
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.
Journal ArticleDOI

Process fault detection based on modeling and estimation methods-A survey

Rolf Isermann
- 01 Jul 1984 - 
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.
Journal ArticleDOI

Analytical redundancy and the design of robust failure detection systems

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.