Journal ArticleDOI
Process fault detection based on modeling and estimation methods-A survey
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.read more
Citations
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Proceedings ArticleDOI
Observer-based fault diagnosis for a class of nonlinear systems
Bin Jiang,Fahmida N. Chowdhury +1 more
TL;DR: In this article, the authors proposed a diagnostic tool based on the adaptive observer technique for the detection and diagnosis of parameter faults in nonlinear systems, which handles the nonlinear fault distribution function.
Fault detection filter design for linear systems
Xiaobo Li,Xiaobo Li +1 more
TL;DR: A new problem formulation with both disturbance decoupling and fault sensitivity optimization is proposed, based on several novel definitions of norms over a certain subspace, that is shown that the solution is an observer determined by a generalized Riccati equation.
Proceedings ArticleDOI
Adaptive observers based fault detection and isolation for an alcoholic fermentation process
TL;DR: The paper deals with fault detection and isolation in an alcoholic fermentation process and a model reference based estimator is used to develop adaptive observers.
Journal ArticleDOI
Online monitoring by dynamically refining imprecise models
Bernhard Rinner,Ulrich Weiss +1 more
TL;DR: MOSES bridges and extends methodologies from the FDI and DX communities by refining the model's uncertainty space conservatively through refutation, by applying standard numerical techniques for deriving the trajectories of imprecise models and by exploiting the measurements as soon as possible for online monitoring.
Journal ArticleDOI
Distributed adaptive diagnosis of sensor faults using structural response data
Kosmas Dragos,Kay Smarsly +1 more
TL;DR: The inherent correlations among Fourier amplitudes of acceleration response data, at peaks corresponding to the eigenfrequencies of the structure, are used for diagnosis of abnormal sensor outputs at a given structural condition.
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,J. Peschon +1 more
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.