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 neural network application to fault diagnosis for robotic manipulator
J.M. Naughton,Y.C. Chen,J. Jiang +2 more
TL;DR: A new approach of performing fault detection and isolation for robotic manipulators using a non-linear observer and an artificial feedforward neural network, which performs efficiently in detecting and isolating faulty modes of the system.
Journal ArticleDOI
Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine
TL;DR: A numerical case study on FDD for the ground operation of an open-cycle liquid-propellant rocket engine demonstrates the effectiveness of the proposed method compared to the traditional red-line cutoff.
Journal ArticleDOI
Neural networks for local monitoring of traffic magnetic sensors
TL;DR: In this paper, a real-time traffic incident detection algorithm is proposed and applied to the monitoring of a complex road junction in the city of Nancy in France, based on macroscopic traffic flow models, and more precisely on the flow-density relationship.
Journal ArticleDOI
Process Fault Detection and Diagnosis: Past, Present and Future
TL;DR: In this paper, the authors present an overview of the various approaches to fault diagnosis, challenges we face and encouraging emerging trends in intelligent control systems for inherently safer design, operator training, abnormal situation management, process hazards analysis and optimal process operations.
Journal ArticleDOI
A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis
TL;DR: Results show that the proposed approach is superior to the other approaches with respect to the goodness of the final consensus clustering, computational demand, data requirements, and fault diagnosis effectiveness.
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.