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Fault-Diagnosis Systems

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Cover of 'Fault-Diagnosis Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Supervision and fault management of processes — tasks and terminology
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    Chapter 3 Reliability, Availability and Maintainability (RAM)
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    Chapter 4 Safety, Dependability and System Integrity
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    Chapter 5 Process Models and Fault Modelling
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    Chapter 6 Signal models
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    Chapter 7 Fault detection with limit checking
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    Chapter 8 Fault detection with signal models
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    Chapter 9 Fault detection with process-identification methods
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    Chapter 10 Fault detection with parity equations
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    Chapter 11 Fault detection with state observers and state estimation
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    Chapter 12 Fault detection of control loops
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    Chapter 13 Fault detection with Principal Component Analysis (PCA)
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    Chapter 14 Comparison and combination of fault-detection methods
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    Chapter 15 Diagnosis procedures and problems
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    Chapter 16 Fault diagnosis with classification methods
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    Chapter 17 Fault diagnosis with inference methods
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    Chapter 18 Fault-tolerant design
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    Chapter 19 Fault-tolerant components and control
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    Chapter 20 Fault detection and diagnosis of DC motor drives
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    Chapter 21 Fault detection and diagnosis of a centrifugal pump-pipe-system
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    Chapter 22 Fault detection and diagnosis of an automotive suspension and the tire pressures
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    Chapter 23 Appendix
Overall attention for this book and its chapters
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Citations

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Readers on

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596 Mendeley
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Title
Fault-Diagnosis Systems
Published by
Springer Berlin Heidelberg, January 2006
DOI 10.1007/3-540-30368-5
ISBNs
978-3-54-024112-6, 978-3-54-030368-8
Authors

Isermann, Rolf

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 596 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 <1%
United Kingdom 4 <1%
Spain 3 <1%
United States 3 <1%
Canada 3 <1%
France 2 <1%
Germany 2 <1%
Australia 1 <1%
Finland 1 <1%
Other 9 2%
Unknown 563 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 142 24%
Student > Master 127 21%
Researcher 63 11%
Student > Doctoral Student 38 6%
Lecturer 18 3%
Other 91 15%
Unknown 117 20%
Readers by discipline Count As %
Engineering 309 52%
Computer Science 64 11%
Energy 11 2%
Chemical Engineering 10 2%
Unspecified 9 2%
Other 30 5%
Unknown 163 27%