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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
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Citations

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12 Dimensions

Readers on

mendeley
17 Mendeley
Summary Dimensions citations
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Title
Fault Diagnosis of Hybrid Dynamic and Complex Systems
Published by
Springer International Publishing, May 2018
DOI 10.1007/978-3-319-74014-0
ISBNs
978-3-31-974013-3, 978-3-31-974014-0
Editors

Sayed-Mouchaweh, Moamar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Student > Doctoral Student 3 18%
Student > Master 2 12%
Researcher 2 12%
Student > Bachelor 1 6%
Other 1 6%
Unknown 4 24%
Readers by discipline Count As %
Engineering 6 35%
Computer Science 4 24%
Unspecified 1 6%
Design 1 6%
Unknown 5 29%

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