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Journal ArticleDOI

Process fault detection based on modeling and estimation methods-A survey

Rolf Isermann
- 01 Jul 1984 - 
- Vol. 20, Iss: 4, pp 387-404
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.

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Citations
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Journal ArticleDOI

Applications of adaptive control to machine tool process control

TL;DR: In this article, the problem of online tool wear estimation and adaptive process control is discussed, and some results from the research of the authors, including recent laboratory experiments, are presented and two adaptive control systems, one for turning and the other for milling processes, are described.
Journal ArticleDOI

Fault isolation in industrial processes by the dynamic table of states method

TL;DR: This method allows one to apply various known ways of fault isolation with the help of an object-independent universal algorithm of diagnostic reasoning, and makes it possible to detect and isolate both single and multiple faults.
Journal ArticleDOI

Fault diagnosis for nonlinear systems using a bank of neural estimators

TL;DR: The performances obtained in the estimation of the fault parameters by the proposed neural estimators and by the extended Kalman filters are compared by means of simulations with an application to underwater robotics.
Journal ArticleDOI

Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype

TL;DR: In this article, a model-based procedure exploiting analytical redundancy for the detection and isolation of faults on a gas turbine process is presented, which consists of exploiting system identification schemes in connection with observer and filter design procedures for diagnostic purpose.
Journal ArticleDOI

State estimation for predictive maintenance using Kalman filter

TL;DR: In this article, a failure prediction method for preventive maintenance (PM) by state estimation using the Kalman filter on a DC motor is presented, where an exponential attenuator is placed at the output end of the motor model to simulate aging failures by monitoring one of the state variables.
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, +1 more
- 01 Sep 1971 - 
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.