Fault tolerant control of wind turbines:a benchmark model

Abstract: The installed energy generation capacity of wind turbines is increasing dramatically on a global scale; this means that reliability of wind turbines is of higher importance. A part of this task is to improve fault detection and accommodation schemes of the wind turbine. This paper presents a benchmark model for simulation of fault detection and accommodation schemes. This benchmark model deals with the wind turbine on a system level containing sensors, actuators and systems faults in the pitch system, drive train, generator and converter system. 1

Provably Secure Mobile Key Exchange: Applying the Canetti-Krawczyk Approach

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Detection and Isolation of Small Faults in Lithium-Ion Batteries via the Asymptotic Local Approach

This contribution presents a diagnosis scheme for batteries to detect and isolate internal faults in the form of small parameter changes. This scheme is based on an electrochemical reduced-order model of the battery, which allows the inclusion of physically meaningful faults that might affect the battery performance. The sensitivity properties of the model are analyzed. The model is then used to compute residuals based on an unscented Kalman filter. Primary residuals and a limiting covariance matrix are obtained thanks to the local approach, allowing for fault detection and isolation by chi-squared statistical tests. Results show that faults resulting in limited 0.15% capacity and 0.004% power fade can be effectively detected by the local approach. The algorithm is also able to correctly isolate faults related with sensitive parameters, whereas parameters with low sensitivity or linearly correlated are more difficult to precise.Comment: 8 pages, 2 figures, 3 tables, conferenc

Diagnosis and Fault-tolerant Control, 3rd Edition

Fault-tolerant control aims at a gradual shutdown response in automated systems when faults occur. It satisfies the industrial demand for enhanced availability and safety, in contrast to traditional reactions to faults, which bring about sudden shutdowns and loss of availability. The book presents effective 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, to test the fault detectability and to find the redundancies in the process that can be used to ensure fault tolerance. It also introduces design methods suitable for diagnostic systems and fault-tolerant controllers for continuous processes that are described by analytical models of discrete-event systems represented by automata. The book is suitable for engineering students, engineers in industry and researchers who wish to get an overview of the variety of approaches to process diagnosis and fault-tolerant control. The authors have extensive teaching experience with graduate and PhD students, as well as with industrial experts. Parts of this book have been used in courses for this audience. The authors give a comprehensive introduction to the main ideas of diagnosis and fault-tolerant control and present some of their most recent research achievements obtained together with their research groups in a close cooperatio n with European research projects. The third edition resulted from a major re-structuring and re-writing of the former edition, which has been used for a decade by numerous research groups. New material includes distributed diagnosis of continuous and discrete-event systems, methods for reconfigurability analysis, and extensions of the structural methods towards fault-tolerant control. The bibliographical notes at the end of all chapters have been up-dated. The chapters end with exercises to be used in lectures

Fault diagnosis based on analytical models for linear and nonlinear systems: a tutorial

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Design of redundancy relations for failure detection and isolation by constrained optimisation

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Generalized predictive control of multivariable linear systems

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Interaction measures and pairing of controlled and manipulated variables for multiple-input-multiple-output systems: a survey

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Design of redundancy relations for failure detection isolation by constrained optimization

The design of a fault detection and isolation (FDD system for linear time-invariant process subject to additive failures is considered. The paper first concentrates on the problem of residual generation. The redundancy relations are obtained by minimizing a quadratic cost function under non-convex quadratic inequality constraints. The constraints express, in some way, the desired performance of the FDI system, both for detection and isolation purposes. Robustness of the FDI system with respect to uncertainties in the model parameters can be achieved by representing the process behaviour with a finite set of models. Next, an approach to the design of a decision logic suitable for the proposed residual generation scheme is described. Finally, the feasibility of the method is illustrated with a simulation study of a FDI system for the actuator failures of a fluid mixer.SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Design of redundancy relations for failure detection and isolation by constrained optimization

info:eu-repo/semantics/publishe