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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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Proceedings ArticleDOI

A science of system security

TL;DR: This paper considers the contributions control theory can make towards developing tools for analyzing whole system security, that is, security of a system that may include its physical and human elements as well as its cyber components.
Proceedings ArticleDOI

In-process motor testing results using model based fault detection approach

TL;DR: In this article, the authors present the findings of a decade-long research and development efforts in the field of experimental modeling technique and its practical applications for the fault detection purposes, first in the fields of aerospace and defense, and now in the context of high-volume electric motor manufacturing.
Journal ArticleDOI

Fault Diagnosis of Output-Induced Actuator Failures for a Flexible Beam with Collocated Input and Output

TL;DR: Using Lyapunov redesign methods, extended and applied to distributed parameter systems, a stable learning scheme for fault diagnosis is proposed in this paper, which is able not only to detect the occurrence of a fault but also to identify the location and shape of the fault.
Journal ArticleDOI

An application of LTR design in fault detection

TL;DR: In this article, the fault detection and isolation (FDI) problem is considered as a filter design problem, where the faults in the system are estimated and the disturbance acting on the system is rejected.
Journal ArticleDOI

A Process Decomposition Strategy for Qualitative Fault Diagnosis of Large-scale Processes

TL;DR: A method for minimization of the knowledge base and flexible diagnosis to be used in qualitative fault diagnosis based on a fault−effect tree model that can be decomposed for flexible diagnosis, size reduction of theknowledge base, and consistent construction of a complex knowledge base.
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.