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Failure diagnosis using discrete event models

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TLDR
A discrete event systems (DES) approach to the failure diagnosis problem is proposed and the notion of diagnosability is discussed, and the construction procedure of the diagnoser is presented.
Abstract
We propose a discrete event systems (DES) approach to the failure diagnosis problem. We present a methodology for modeling physical systems in a DES framework. We discuss the notion of diagnosability and present the construction procedure of the diagnoser. Finally, we illustrate our approach using a heating, ventilation and air conditioning (HVAC) system. >

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Citations
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Journal ArticleDOI

Diagnosability of discrete-event systems

TL;DR: The approach to failure diagnosis presented in this paper is applicable to systems that fall naturally in the class of DES's; moreover, for the purpose of diagnosis, most continuous variable dynamic systems can be viewed as DES's at a higher level of abstraction.
Journal ArticleDOI

Failure diagnosis using discrete-event models

TL;DR: A discrete-event systems (DES) approach to the failure diagnosis problem is proposed, applicable to systems that fall naturally in the class of DES; moreover, for the purpose of diagnosis, continuous-variable dynamic systems can often be viewed as DES at a higher level of abstraction.
Journal ArticleDOI

Coordinated Decentralized Protocols for Failure Diagnosisof Discrete Event Systems

TL;DR: Three protocols are specified that achieve, each under a set of assumptions, the same diagnostic performance as the centralized diagnoser and highlight the “performance vs. complexity” tradeoff that arises in coordinated decentralized architectures.
Journal ArticleDOI

Stability Analysis of Positive Switched Linear Systems With Delays

TL;DR: Under certain conditions, several stability results are established by constructing a sequence of functions that are positive, monotonically decreasing, and convergent to zero as time tends to infinity (additionally continuous for continuous-time systems).
Journal ArticleDOI

Decentralized failure diagnosis of discrete event systems

TL;DR: The notion of decentralized diagnosis is formalized by introducing the notion of codiagnosability that requires that a failure be detected by one of the diagnosers within a bounded delay.
References
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Journal ArticleDOI

Detection of abrupt changes: theory and application

TL;DR: A unified framework for the design and the performance analysis of the algorithms for solving change detection problems and links with the analytical redundancy approach to fault detection in linear systems are established.
Journal ArticleDOI

Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy—a survey and some new results

Paul M. Frank
- 01 May 1990 - 
TL;DR: In this article, the authors review the state of the art of fault detection and isolation in automatic processes using analytical redundancy, and present some new results with emphasis on the latest attempts to achieve robustness with respect to modelling errors.
Journal ArticleDOI

The control of discrete event systems

TL;DR: The focus is on the qualitative aspects of control, but computation and the related issue of computational complexity are also considered.
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.
Journal ArticleDOI

Diagnosability of discrete-event systems

TL;DR: The approach to failure diagnosis presented in this paper is applicable to systems that fall naturally in the class of DES's; moreover, for the purpose of diagnosis, most continuous variable dynamic systems can be viewed as DES's at a higher level of abstraction.
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