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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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Proceedings ArticleDOI

Fault diagnosis for a turbine engine

TL;DR: A sophisticated component level model (CLM) simulation of a turbine engine (XTE46) that can simulate the effects of manufacturing and deterioration differences, in addition to a variety of failures, is dealt with.
Journal ArticleDOI

Relaxed maximum a posteriori fault identification

TL;DR: This work considers the problem of estimating a pattern of faults, represented as a binary vector, from a set of measurements, and shows that the method performs extremely well, both in identifying the true fault pattern, and in identifying an ambiguity group.
Proceedings ArticleDOI

A tractable nonlinear fault detection and isolation technique with application to the cyber-physical security of power systems

TL;DR: A novel methodology to robustify a linear residual generator for a nonlinear system in the presence of certain disturbance signatures is proposed and used to diagnose a cyber-physical attack emanating from the vulnerabilities introduced by the interaction between IT infrastructure and power system.
Proceedings ArticleDOI

A robust fault detection and isolation scheme for a class of uncertain input-output discrete-time nonlinear systems

TL;DR: This paper extends very recent results on discrete- time nonlinear fault detection and isolation to the case of discrete-time nonlinear systems with unstructured modeling uncertainty and partial state measurement and design adaptive residual thresholds associated with each isolation estimator and obtain sufficient conditions for fault isolability.
Journal ArticleDOI

A vibration analysis method based on hybrid techniques and its application to rotating machinery

TL;DR: In this paper, a vibration analysis method based on hybrid techniques is proposed to extract the significant fault features, and several different fault features are fused to illustrate the operating state of the machinery.
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.