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An ensemble-learning model for failure rate prediction

  • Published:2020 Issue: Volume:42 Page:41-48
  • ISSN:2351-9789
  • Container-title:Procedia Manufacturing
  • language:en
  • Short-container-title:Procedia Manufacturing

Author:

Marcello Braglia,Davide Castellano,Marco Frosolini,Roberto Gabbrielli,Leonardo Marrazzini,Luca Padellini

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference18 articles.

1. Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030;Bokrantz;International Journal of Production Economics,2017

2. Product-service system (PSS) complexity metrics within mass customization and Industry 4.0 environment;Mourtzis;The International Journal of Advanced Manufacturing Technology,2018

3. Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics;Bumblauskas;Expert Systems with Applications,2017

4. Optimal multi-level condition-based maintenance policy for multi-unit systems under economic dependence;Duan;The International Journal of Advanced Manufacturing Technology,2017

5. Buffer allocation problem and preventive maintenance planning in non-homogenous unreliable production lines;Zandieh;The International Journal of Advanced Manufacturing Technology,2017

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