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
Aircraft sensor fault detection using state and input estimation
Ahmad Ansari,Dennis S. Bernstein +1 more
TL;DR: The kinematics are formulated as a nonlinear state space system, which requires no modeling information, and thus is applicable to all aircraft and therefore is applicable for detecting aircraft sensor faults using state and input estimation.
Journal ArticleDOI
Sensor failure estimators for detection filters
TL;DR: In this article, a single sensor failure tracking estimator is derived, which uses the planar nature of the residuals resulting from a sensor failure to improve the performance of both the detection and identification of failures.
Journal ArticleDOI
On the disturbed fault detection and isolation problem
TL;DR: In this article, the authors studied the fault detection and isolation problem in presence of disturbances in observer-based residual generation, and proved that this joint problem can be solved if and only if the usual (undisturbed) fault detection, isolation, and transfer from faults to residuals are simultaneously solved.
Journal ArticleDOI
Structural Fault Detection and Isolation in Hybrid Systems
Hamed Khorasgani,Gautam Biswas +1 more
TL;DR: An approach that exploits the equation structure of hybrid systems behavior to combine mode detection and diagnosis in nonlinear hybrid systems and demonstrates its effectiveness using a case study of a reverse osmosis subsystem in an advances life support system for long duration manned space missions.
Journal ArticleDOI
Neural networks applied to fault detection of a biotechnological process
M.J. Fuente,Pastora Vega +1 more
TL;DR: A new approach to fault detection and diagnosis is presented and assessed by using real data from experiments on the plant by the use of an on-line estimation technique and a backpropagation neural network to analyse the frequency content of some fault-indicating signal derived from the identification step.
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.