Solving Fault Diagnosis Problems

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Details

The goal of this new edition is the same as for the first edition to address the fault detection and isolation topics from a computational perspective, by covering the same important aspects, namely, (1) providing a completely general theoretical treatment of fault and model detection problems for linear time-invariant systems; (2) presenting the best suited numerical approaches to solve the specific computational problems; (3) providing supporting software to solve the analysis and filter synthesis problems. In this second edition, the changes in the theoretical presentation are minor and all known errors and typos have been corrected. The major difference to the first edition is in the underlying computational support, which is now based on software developed in a relatively new language called Julia. The presentation of synthesis procedures and examples is similar to the first edition, but it is now interlaced with Julia codes which can be used to reproduce all computational examples and figures presented in the book. An Appendix has been added to cover some basic issues related to using Julia and the new FaultDetectionTools and DescriptorSystems packages.



Addresses the fault detection and isolation topics from a computational perspective Presents the best suited numerical approaches to solve the specific computational problems Focuses on a new language called Julia for the underlying computational support

Klappentext

The goal of this new edition is the same as for the first edition to address the fault detection and isolation topics from a computational perspective , by covering the same important aspects, namely, (1) providing a completely general theoretical treatment of fault and model detection problems for linear time-invariant systems; (2) presenting the best suited numerical approaches to solve the specific computational problems; (3) providing supporting software to solve the analysis and filter synthesis problems. In this second edition, the changes in the theoretical presentation are minor and all known errors and typos have been corrected. The major difference to the first edition is in the underlying computational support, which is now based on software developed in a relatively new language called Julia. The presentation of synthesis procedures and examples is similar to the first edition, but it is now interlaced with Julia codes which can be used to reproduce all computational examples and figures presented in the book. An Appendix has been added to cover some basic issues related to using Julia and the new FaultDetectionTools and DescriptorSystems packages.


Inhalt
Part I Basics of Fault Diagnosis.- 1 Introduction.- 2 Modelling Systems with Faults .- 3 Fault Diagnosis.- 4 Model Detection.- Part II Synthesis of Residual Generators.- 5 Synthesis of Fault Detection and Isolation Filters .- 6 Synthesis of Model Detection Filters.- 7 Computational Issues .- 8 Case Studies .- Part III Background Material.- 9 System Theoretical Concepts .- 10 Computational Algorithms and Software.- A Introduction to Julia Language and Packages.- References.- Index.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031357664
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage Second Edition 2023
    • Sprache Englisch
    • Anzahl Seiten 476
    • Herausgeber Springer International Publishing
    • Größe H241mm x B160mm x T31mm
    • Jahr 2024
    • EAN 9783031357664
    • Format Fester Einband
    • ISBN 3031357663
    • Veröffentlichung 02.02.2024
    • Titel Solving Fault Diagnosis Problems
    • Autor Andreas Varga
    • Untertitel Linear Synthesis Techniques with Julia Code Examples
    • Gewicht 875g

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