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
Inductive learning for fault diagnosis
TL;DR: A novel hybrid Model based and Data Clustering architecture for fault monitoring and diagnosis, which is suitable for complex dynamic systems with continuous and discrete variables is presented.
Journal ArticleDOI
Principles of Model-Based Fault Detection
TL;DR: In this article, the authors outline the principles of fault detection and isolation in dynamic systems using a mathematical model of the system and show how structured residuals for the localization of the faults can be generated with the aid of observer schemes.
Book ChapterDOI
Detecting and Locating Leaks in Transmission Pipelines
TL;DR: Transmission pipelines are the most essential parts of large pipeline networks and are used to transport fluids at very long distances, which may vary in length from several kilometres to hundreds or thousands of kilometres They have few branches and no loops, operate at relatively high pressure and need compressor stations, which generate the energy the fluid needs to move through the pipeline as discussed by the authors.
Diagnosability of Discrete Event System. A Petri Net Based Approach
TL;DR: In this article, a model-based fault diagnosis of discrete event systems is presented, expressed as an Interpreted Petri Net (IPN) describing partially observed events and states, and including all possible faulty states.
Journal ArticleDOI
Sensitivity enhancing transformations for monitoring the process correlation structure
Tiago J. Rato,Marco S. Reis +1 more
TL;DR: A novel monitoring statistic for the transformed variables variance proved to be very useful in the detection of structural changes resulting from model mismatch and with higher detection performances when compared to the current methods.
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.