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
Artificial neural network for sensor failure detection in an automotive engine
TL;DR: This paper presents a sensor failure detection method with artificial neural network for critical complex equipments, where their dynamic performance usually can not be actually obtained but if the number of measured variables is higher than the order of the system, it can detect the sensor failure and even recover or estimate the correct readings of the failed sensor.
Proceedings ArticleDOI
Fault detection in flight control systems via innovation sequence of Kalman filter
Chingiz Hajiyev,Fikret Caliskan +1 more
TL;DR: In this paper, an approach based on the ratio of two quadratic forms of which matrices are theoretic and selected covariance matrices of Kalman filter innovation sequence for sensor fault detection, is presented.
Journal ArticleDOI
An energy perspective on modelling, supervision, and control of large-scale industrial systems: Survey and framework
TL;DR: An energy-based framework is proposed whereby energy is used as a unifying domain to work in, to analyse, and to optimise large-scale industrial systems.
Proceedings ArticleDOI
Identifiability of process coefficients for technical failure diagnosis
Stefan Nold,Rolf Isermann +1 more
TL;DR: In this paper, the identifiability of process coefficients with given models and instrumentation has been studied from different points of view, although the problems were mostly formulated in a state space representation.
Journal ArticleDOI
Fault Detection and Diagnosis of a Nuclear Power Plant Using Artificial Neural Networks
TL;DR: Simulation results presented reveal that it is feasible to use artificial neural networks to improve the operating characteristics of the nuclear power plant.
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.