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
A robust fault detection and isolation scheme for a class of uncertain input-output discrete-time nonlinear systems
TL;DR: This paper extends very recent results on discrete- time nonlinear fault detection and isolation to the case of discrete-time nonlinear systems with unstructured modeling uncertainty and partial state measurement and design adaptive residual thresholds associated with each isolation estimator and obtain sufficient conditions for fault isolability.
Journal ArticleDOI
Application of artificial neural networks in process fault diagnosis
T. Sorsa,Heikki N. Koivo +1 more
TL;DR: The multi-layer perceptron network yields reliable fault diagnosis, while the networks which are trained unsupervised are not able to diagnose all situations correctly and on the other hand, self-organizing networks can produce valuable information about relationships between different fault situations.
Journal ArticleDOI
Design of a pipeline leakage detection using expert system: A novel approach
C. A. Laurentys,Carlos Henrique De Morais Bomfim,Benjamin Rodrigues de Menezes,Walmir Matos Caminhas +3 more
TL;DR: A methodology to set instrumentations systems to accomplish with the legal requirement keeping high reliability during normal and fail operations conditions is described, with a set of models acting as Expert systems observing and diagnosing pipeline leakage in real-time.
Journal ArticleDOI
Generating Diagnostic Residuals for Steer-by-Wire Vehicles
TL;DR: This paper presents the modeling and fault detection filter design techniques used to construct a set of diagnostic residuals suitable for detecting and isolating a wide variety of steering system faults, based only on measurements from sensors already present in a steer-by-wire system.
Journal ArticleDOI
A comparison of model-based and neural network-based diagnostic methods
TL;DR: This work compares the performance of a model-based diagnostic method (diagnostic model processor) and a neural network-based approach (ellipsoidal neural networks) on an industrial case study, suggesting when one might use one of these alternatives.
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.