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Advanced Maintenance Modelling for Asset Management

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Cover of 'Advanced Maintenance Modelling for Asset Management'

Table of Contents

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    Book Overview
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    Chapter 1 On the Family of Standards UNE-ISO 55000 and How to Effectively Manage Assets
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    Chapter 2 A Maintenance Management Framework Based on PAS 55
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    Chapter 3 The Integration of Open Reliability, Maintenance, and Condition Monitoring Management Systems
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    Chapter 4 Prognostics and Health Management in Advanced Maintenance Systems
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    Chapter 5 A Framework for Effective Management of CBM Programs
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    Chapter 6 Criticality Analysis for Maintenance Purposes
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    Chapter 7 AHP Method According to a Changing Environment
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    Chapter 8 Reliability Stochastic Modeling for Repairable Physical Assets
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    Chapter 9 Economic Impact of a Failure Using Life-Cycle Cost Analysis
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    Chapter 10 Online Reliability and Risk to Schedule the Preventive Maintenance in Network Utilities
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    Chapter 11 Customer-oriented Risk Assessment in Network Utilities
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    Chapter 12 Dynamic Reliability Prediction of Asset Failure Modes
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    Chapter 13 A Quantitative Graphical Analysis to Support Maintenance
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    Chapter 14 Case Study of Graphical Analysis for Maintenance Management
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    Chapter 15 A Graphical Method to Support Operation Performance Assessment
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    Chapter 16 Value Assessment of e-Maintenance Platforms
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    Chapter 17 Assistance to Dynamic Maintenance Tasks by Ann-Based Models
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    Chapter 18 Expected Impact Quantification Based on Reliability Assessment
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    Chapter 19 Influence of the Input Load on the Reliability of the Grinding Line
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    Chapter 20 Summary of Results and Conclusions
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Title
Advanced Maintenance Modelling for Asset Management
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-58045-6
ISBNs
978-3-31-958045-6, 978-3-31-958044-9
Editors

Adolfo Crespo Márquez, Vicente González-Prida Díaz, Juan Francisco Gómez Fernández

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 19%
Researcher 8 14%
Student > Master 5 9%
Student > Doctoral Student 2 3%
Student > Bachelor 2 3%
Other 6 10%
Unknown 24 41%
Readers by discipline Count As %
Engineering 18 31%
Business, Management and Accounting 4 7%
Computer Science 3 5%
Energy 2 3%
Social Sciences 2 3%
Other 3 5%
Unknown 26 45%