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Journal ArticleDOI

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

Rolf Isermann
- 01 Jul 1984 - 
- Vol. 20, Iss: 4, pp 387-404
TLDR
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.
About
This article is published in Automatica.The article was published on 1984-07-01. It has received 2367 citations till now. The article focuses on the topics: Fault detection and isolation & Process modeling.

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Citations
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Journal ArticleDOI

Towards intelligent control of mechanical processes

TL;DR: In this article, the overall control is performed in different levels and includes adaptive nonlinear control, supervision and fault detection, and several experimental results are shown and the realized implementation on a low-cost microcontroller and a standard process computer.
Proceedings ArticleDOI

Incipient fault detection and diagnosis using artificial neural networks

TL;DR: How an artificial neural network can detect and diagnose faults from online process data is demonstrated, allowing representation of complex engineering systems which are difficult to model either with traditional model-based engineering or knowledge-based expert systems.
Proceedings ArticleDOI

Robust parametric fault detection and isolation for nonlinear systems

TL;DR: A robust fault diagnosis scheme for parametric faults in nonlinear dynamical systems with derivation of robust isolability conditions for the class of nonlinear systems under consideration is presented.
Journal ArticleDOI

Modelling and control of a high redundancy actuator

TL;DR: In this article, the authors introduce the notion of fault-tolerant systems and the highly redundant actuator concept, and derive a model for a two by two configuration with electro-mechanical actuation elements.
Journal ArticleDOI

Flatness-based fault tolerant control of a nonlinear MIMO system using algebraic derivative estimation

TL;DR: In this paper, a flatness-based approach to fault tolerant control is proposed, which uses the recently published algebraic derivative estimation method for the estimation of those output derivatives that are necessary for determining intermittent actuator faults.
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.
Book

Digital Control Systems

TL;DR: This chapter introduces the z-Transform, a new type of transform that combines Laplace Transforms, z-Transforms and Modified Z-TRANSFORMS with Convolution Integral to achieve state-of-the-art control of Discrete-Data Systems.
Journal ArticleDOI

Correspondence item: An innovations approach to fault detection and diagnosis in dynamic systems

R. K. Mehra, +1 more
- 01 Sep 1971 - 
TL;DR: A general approach to fault detection, diagnosis and prognosis in systems describable by mathematical models is outlined, based on System Theory and Statistical Decision Theory.
Dissertation

Failure accomodation in linear systems through self-reorganization.

TL;DR: In this article, the authors present a model for the first unmanned aerial vehicle (UAV) and demonstrate its performance in the first flight test of the UAV-A1.
Journal ArticleDOI

Parameter estimation for continuous-time models-A survey

TL;DR: The paper reviews the progress of research on parameter estimation for continuous-time models of dynamic systems over the period 1958-1980 and includes a classification system which conforms as closely as possible to that which has arisen naturally over the past two decades.