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Fault Diagnosis of Dynamic Systems

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Cover of 'Fault Diagnosis of Dynamic Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Case Studies and Modeling Formalism
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    Chapter 3 Structural Analysis
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    Chapter 4 FDI Approach
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    Chapter 5 Model-Based Diagnosis by the Artificial Intelligence Community: The DX Approach
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    Chapter 6 Model-Based Diagnosis by the Artificial Intelligence Community: Alternatives to GDE and Diagnosis of Dynamic Systems
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    Chapter 7 BRIDGE: Matching Model-Based Diagnosis from FDI and DX Perspectives
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    Chapter 8 Data-Driven Fault Diagnosis: Multivariate Statistical Approach
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    Chapter 9 Discrete-Event Systems Fault Diagnosis
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    Chapter 10 Fault Diagnosis Using Set-Membership Approaches
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    Chapter 11 Selected Estimation Strategies for Fault Diagnosis of Nonlinear Systems
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    Chapter 12 Model-Based Diagnosis with Probabilistic Models
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    Chapter 13 Mode Detection and Fault Diagnosis in Hybrid Systems
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    Chapter 14 Constraint-Driven Fault Diagnosis
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    Chapter 15 Model-Based Software Debugging
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    Chapter 16 Diagnosing Business Processes
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    Chapter 17 Fundamentals of Prognostics
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    Chapter 18 Electronics Prognostics
Attention for Chapter 2: Case Studies and Modeling Formalism
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Citations

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Chapter title
Case Studies and Modeling Formalism
Chapter number 2
Book title
Fault Diagnosis of Dynamic Systems
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-17728-7_2
Book ISBNs
978-3-03-017727-0, 978-3-03-017728-7
Authors

Teresa Escobet, Belarmino Pulido, Anibal Bregon, Vicenç Puig

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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