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
Fault Detection of an Electro-Hydraulic Cylinder Using Adaptive Robust Observers
P. Garimella,Bin Yao +1 more
TL;DR: In this article, an adaptive robust observer (ARO) is used to detect common faults in hydraulic cylinder drive units such as lack of sufcient supply pressure, reduced hydraulic compliance and excessive leakage of the hydraulic uid.
Journal ArticleDOI
Towards distributed diagnosis of the Tennessee Eastman process benchmark
Jun Chen,John Howell +1 more
TL;DR: In this article, a distributed hybrid strategy for the isolation of faults and disturbances in the Tennessee Eastman process, which would build on existing structures for distributed control systems, so should be easy to implement, be cheap and be widely applicable.
Journal ArticleDOI
A Model-Based Diagnosis in Machine Tools: Application to the Milling Cutting Process
TL;DR: In this article, two methods of fault diagnosis in milling process are presented, one for the acquisition of forces in real time, modelling the cutting phenomenon and using recursive identifcation or Kalman filter permit a rapid fault detection of faults for the machine tool.
Journal ArticleDOI
Parameter intervals used for fault isolation in non-linear dynamic systems
Zetao Li,Boutaieb Dahhou +1 more
TL;DR: The parameter interval-based fault isolation method has good speed and can provide an estimate of the faulty parameter in order to solve fault isolation problems for non-linear dynamic systems.
Journal ArticleDOI
Multiprocessor systems for connectionist diagnosis of technical processes
TL;DR: The paper gives the first results of investigations comparing the learning and recognition performance of frequently used traditional pattern recognition techniques, back propagation networks and a network based on the condensed nearest-neighbour concept, developed at the University of Paderborn.
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.