Open AccessBook
Diagnosis and Fault-Tolerant Control
Mogens Blanke,Michel Kinnaert,Jan Lunze,Marcel Staroswiecki,Jochen Schröder +4 more
- 22 Dec 2012
TL;DR: In this paper, model-based analysis and design methods for fault diagnosis and fault-tolerant control are presented, where the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance.
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Abstract: This book presents model-based analysis and design methods for fault diagnosis and fault-tolerant control. Architectural and structural models are used to analyse the propagation of the fault through the process, test fault detectability and reveal redundancies that can be used to ensure fault tolerance. Case studies demonstrate the methods presented. The second edition includes new material on reconfigurable control, diagnosis of nonlinear systems, and remote diagnosis, plus new examples and updated bibliography.
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Citations
Extended Luenberger Observer-Based Fault Detection for an Activated Sludge Process
TL;DR: In this article, an observer-based fault detection and isolation (FDI) method for a biological wastewater treatment process (WWTP) is presented, where the residual is generated utilizing an Extended Luenberger function observer.
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Fault handling in large water networks with online dictionary learning
TL;DR: An efficient two-step data driven alternative is proposed: first, sensor placement is performed taking the network topology into account; second, incoming sensor data is used to build a network model through online dictionary learning.
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Using parallel random search to train fuzzy neural networks
TL;DR: It is proposed to take into account information on the training sample when forming the initial set of solutions and significance of terms of features, which brings the initial points closer to optimal and accelerates the optimization process.
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Encoding fuzzy possibilistic diagnostics as a constrained optimization problem
TL;DR: A knowledge-base encoding methodology for diagnostic tasks, transforming such knowledge into constrained optimization problems, based on a reinterpretation of the consistent causal reasoning paradigm to the fuzzy case.
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Evaporator unit as a benchmark for Plug and Play and fault tolerant control
TL;DR: In this article, the authors present a challenging industrial benchmark for implementation of control strategies under realistic working conditions, i.e., adapt to varying working conditions and provide fault tolerance, in a plug-and-play manner.
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References
Intelligent failure-tolerant control
TL;DR: An overview of failure-tolerant control is presented, focusing on the control of continuous-time dynamic systems (or plants) whose motions can be represented by integrals of nonlinear ordinary differential equations.
178
Diagnosis of Quantised Systems
TL;DR: The paper shows how the behavioural relation of the automaton has to be selected in order to obtain a complete model of the quantised system and surveys methods for modelling and diagnosing such systems.
36
Fault recovery by nominal trajectory tracking
M. Staroswiecki,Franck Cazaurang +1 more
- 11 Jun 2008
TL;DR: This paper proposes a problem setting that allows to trade-off the quality of the accommodated trajectories and the energy of the accommodation control, and provides a clear definition of recoverable faults.
Bibliographical Notes. I
TL;DR: This chapter focuses on protection, which is a measure of confidence that the integrity of a system and its data will be preserved and Security assurance is a much broader topic, and is addressed in Chapter 15.
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Diagnosability of stochastic automata
David Thorsley,Demosthenis Teneketzis +1 more
- 09 Dec 2003
TL;DR: The stochastic diagnoser is used to specify off-line conditions sufficient to guarantee notions of diagnosability and determine how to perform on-line diagnosis of failure events.
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