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Fault Diagnosis of Hybrid Dynamic and Complex Systems

Overview of attention for book
Cover of 'Fault Diagnosis of Hybrid Dynamic and Complex Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Prologue
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    Chapter 2 Motor Fault Detection and Diagnosis Based on a Meta-cognitive Random Vector Functional Link Network
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    Chapter 3 Optimal Adaptive Threshold and Mode Fault Detection for Model-Based Fault Diagnosis of Hybrid Dynamical Systems
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    Chapter 4 Diagnosing Hybrid Dynamical Systems Using Max-Plus Algebraic Methods
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    Chapter 5 Monitoring of Hybrid Dynamic Systems: Application to Chemical Process
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    Chapter 6 Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fault Diagnosis
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    Chapter 7 Hybrid System Model Based Fault Diagnosis of Automotive Engines
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    Chapter 8 Diagnosis of Hybrid Systems Using Structural Model Decomposition
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    Chapter 9 Diagnosis of Hybrid Systems Using Hybrid Particle Petri Nets: Theory and Application on a Planetary Rover
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    Chapter 10 Diagnosis of Hybrid Dynamic Systems Based on the Behavior Automaton Abstraction
Attention for Chapter 6: Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fault Diagnosis
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Readers on

mendeley
3 Mendeley
Summary
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Chapter title
Hybrid Bond-Graph Possible Conflicts for Hybrid Systems Fault Diagnosis
Chapter number 6
Book title
Fault Diagnosis of Hybrid Dynamic and Complex Systems
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-74014-0_6
Book ISBNs
978-3-31-974013-3, 978-3-31-974014-0
Authors

Carlos J. Alonso-González, Belarmino Pulido, Anibal Bregon

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Agricultural and Biological Sciences 1 33%
Unknown 1 33%

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