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14th WCEAM Proceedings

1, 2020

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16th WCEAM Proceedings

1, 2023

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Digital Maintenance Management: Guiding Digital Transformation in Maintenance

Marquez, Adolfo Crespo

1, 2022

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A Review of the Use of Artificial Neural Network Models for Energy and Reliability Prediction. A Study of the Solar PV, Hydraulic and Wind Energy Sources

Applied sciences, 2019-05, Vol.9 (9), p.1844

2019

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A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency

Energies (Basel), 2019-09, Vol.12 (18), p.3454

2019

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Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance

Energies (Basel), 2019, Vol.12 (11), p.2036

2019

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Value Based and Intelligent Asset Management: Mastering the Asset Management Transformation in Industrial Plants and Infrastructures

1st ed. 2020., 2019

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Value-driven engineering of E-maintenance platforms

Journal of manufacturing technology management, 2014-01, Vol.25 (4), p.568-598

2014

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Review and Comparison of Intelligent Optimization Modelling Techniques for Energy Forecasting and Condition-Based Maintenance in PV Plants

Energies (Basel), 2019, Vol.12 (21), p.4163

2019

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Dynamic analytic hierarchy process: AHP method adapted to a changing environment

Journal of manufacturing technology management, 2014-01, Vol.25 (4), p.457-475

2014

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Graphical analysis for overall effectiveness management: A graphical method to support operation and maintenance performance assessment

Quality and reliability engineering international, 2018-12, Vol.34 (8), p.1615-1632

2018

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Modelling using UML and BPMN the integration of open reliability, maintenance and condition monitoring management systems: An application in an electric transformer system

Computers in industry, 2013-06, Vol.64 (5), p.524-542

2013

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The Graphical Analysis for Maintenance Management Method: A Quantitative Graphical Analysis to Support Maintenance Management Decision Making

Quality and reliability engineering international, 2013-02, Vol.29 (1), p.77-87

2013

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On the concept of e-maintenance: Review and current research

Reliability engineering & system safety, 2008-08, Vol.93 (8), p.1165-1187

2008

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Advanced Maintenance Modelling for Asset Management: Techniques and Methods for Complex Industrial Systems

1, 2017

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Advances in Asset Management: Strategies, Technologies, and Industry Applications

2024

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Asset Management Framework and Tools for Facing Challenges in the Adoption of Product-Service Systems

IEEE transactions on engineering management, 2022-12, Vol.69 (6), p.2693-2706

2022

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Metodología para el análisis de problemas y limitaciones en emprendimientos universitarios

Innovar : revista de ciencias administrativas y sociales, 2017, Vol.27 (63), p.91-105

2017

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Dynamic Risk Assessment for CBM-based adaptation of maintenance planning

Reliability engineering & system safety, 2022-07, Vol.223, p.108359, Article 108359

2022

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Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle's Acceleration Measurements

Sensors (Basel, Switzerland), 2024-07, Vol.24 (14), p.4627

2024

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Capacity constrained supply chains: a simulation study

International journal of simulation & process modelling, 2008, Vol.4 (2), p.139

2008

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Conceptual framework for e-Maintenance: Illustration by e-Maintenance technologies and platforms

Annual Reviews in Control, 2009-12, Vol.33 (2), p.220-229

2009

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Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

Energies (Basel), 2020-08, Vol.13 (15), p.3762

2020

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Strategies for COVID-19 Pandemic Recovery: Application of Engineering Asset Management Principles

14th WCEAM Proceedings, p.288-305

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Risk-Based Criticality for Network Utilities Asset Management

IEEE eTransactions on network and service management, 2019-06, Vol.16 (2), p.755-768

2019

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14th WCEAM Proceedings

16th WCEAM Proceedings

Digital Maintenance Management: Guiding Digital Transformation in Maintenance

A Review of the Use of Artificial Neural Network Models for Energy and Reliability Prediction. A Study of the Solar PV, Hydraulic and Wind Energy Sources

A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency

Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance

Value Based and Intelligent Asset Management: Mastering the Asset Management Transformation in Industrial Plants and Infrastructures

Value-driven engineering of E-maintenance platforms

Review and Comparison of Intelligent Optimization Modelling Techniques for Energy Forecasting and Condition-Based Maintenance in PV Plants

Dynamic analytic hierarchy process: AHP method adapted to a changing environment

Graphical analysis for overall effectiveness management: A graphical method to support operation and maintenance performance assessment

Modelling using UML and BPMN the integration of open reliability, maintenance and condition monitoring management systems: An application in an electric transformer system

The Graphical Analysis for Maintenance Management Method: A Quantitative Graphical Analysis to Support Maintenance Management Decision Making

On the concept of e-maintenance: Review and current research

Advanced Maintenance Modelling for Asset Management: Techniques and Methods for Complex Industrial Systems

Advances in Asset Management: Strategies, Technologies, and Industry Applications

Asset Management Framework and Tools for Facing Challenges in the Adoption of Product-Service Systems

Metodología para el análisis de problemas y limitaciones en emprendimientos universitarios

Dynamic Risk Assessment for CBM-based adaptation of maintenance planning

Predicting Rail Corrugation Based on Convolutional Neural Networks Using Vehicle's Acceleration Measurements

Capacity constrained supply chains: a simulation study

Conceptual framework for e-Maintenance: Illustration by e-Maintenance technologies and platforms

Maintenance Management through Intelligent Asset Management Platforms (IAMP). Emerging Factors, Key Impact Areas and Data Models

Strategies for COVID-19 Pandemic Recovery: Application of Engineering Asset Management Principles

Risk-Based Criticality for Network Utilities Asset Management

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