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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

Fault Detection for Uncertain Fuzzy Systems: An LMI Approach

TL;DR: This paper studies the problem of designing a robust fault-detection system for uncertain Takagi-Sugeno fuzzy models and the worst case fault sensitivity measure is formulated in terms of linear matrix inequalities.
Journal ArticleDOI

Incipient fault diagnosis of dynamical systems using online approximators

TL;DR: A general framework for model-based fault detection and diagnosis of a class of incipient faults is developed and an automated fault diagnosis architecture using nonlinear online approximators with an adaptation scheme is designed and analyzed.
Journal ArticleDOI

A Multidimensional Critical State Analysis for Detecting Intrusions in SCADA Systems

TL;DR: This paper presents an innovative approach to Intrusion Detection in SCADA systems based on the concept of Critical State Analysis and State Proximity, and the theoretical framework is supported by tests conducted with an Intrusions Detection System prototype implementing the proposed detection approach.
Journal ArticleDOI

A New Fault Diagnosis Method Using Fault Directions in Fisher Discriminant Analysis

TL;DR: A new process monitoring method is proposed that is composed of a preanalysis step that first roughly identifies various clusters in a historical data set and then precisely isolates normal and abnormal data clusters by the k-means clustering method and a fault diagnosis method based on fault directions in pairwise FDA.
Book

Signal Analysis: Time, Frequency, Scale and Structure

TL;DR: This chapter discusses Signals: Analog, Discrete, and Digital, which is concerned with systems defined by Difference Equations, and its applications, including LTI Systems, Impulse Response, and Convolution.
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.