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Complex System Maintenance Handbook

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Cover of 'Complex System Maintenance Handbook'

Table of Contents

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    Book Overview
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    Chapter 1 An Overview
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    Chapter 2 Maintenance: An Evolutionary Perspective
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    Chapter 3 New Technologies for Maintenance
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    Chapter 4 Reliability Centred Maintenance
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    Chapter 5 Condition-based Maintenance Modelling
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    Chapter 6 Maintenance Based on Limited Data
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    Chapter 7 Reliability Prediction and Accelerated Testing
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    Chapter 8 Preventive Maintenance Models for Complex Systems
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    Chapter 9 Artificial Intelligence in Maintenance
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    Chapter 10 Maintenance of Repairable Systems
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    Chapter 11 Optimal Maintenance of Multi-component Systems: A Review
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    Chapter 12 Replacement of Capital Equipment
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    Chapter 13 Maintenance and Production: A Review of Planning Models
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    Chapter 14 Delay Time Modelling
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    Chapter 15 Maintenance Outsourcing
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    Chapter 16 Maintenance of Leased Equipment
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    Chapter 17 Computerised Maintenance Management Systems
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    Chapter 18 Risk Analysis in Maintenance
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    Chapter 19 Maintenance Performance Measurement (MPM) System
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    Chapter 20 Forecasting for Inventory Management of Service Parts
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    Chapter 21 Maintenance in the Rail Industry
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    Chapter 22 Condition Monitoring of Diesel Engines
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    Chapter 23 Benchmarking of the Maintenance Process at Banverket (The Swedish National Rail Administration)
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    Chapter 24 Integrated e-Operations-e-Maintenance: Applications in North Sea Offshore Assets
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    Chapter 25 Fault Detection and Identification for Longwall Machinery Using SCADA Data
Attention for Chapter 2: Maintenance: An Evolutionary Perspective
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Chapter title
Maintenance: An Evolutionary Perspective
Chapter number 2
Book title
Complex System Maintenance Handbook
Published by
Springer, London, January 2008
DOI 10.1007/978-1-84800-011-7_2
Book ISBNs
978-1-84800-010-0, 978-1-84800-011-7
Authors

Liliane Pintelon, Alejandro Parodi-Herz, Pintelon, Liliane, Parodi-Herz, Alejandro

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Denmark 1 <1%
Canada 1 <1%
Unknown 209 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 63 30%
Student > Bachelor 32 15%
Student > Ph. D. Student 30 14%
Researcher 10 5%
Student > Doctoral Student 7 3%
Other 18 8%
Unknown 53 25%
Readers by discipline Count As %
Engineering 111 52%
Business, Management and Accounting 12 6%
Computer Science 10 5%
Social Sciences 6 3%
Environmental Science 3 1%
Other 11 5%
Unknown 60 28%