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4. Methods and tools for intelligent predictive maintenance
The development of intelligent predictive maintenance for Industry 4.0 requires, on the one hand, the implementation of methods and tools that can reliably predict and estimate the time of failure, and on the other hand, the selection of the maintenance strategy best suited to companies' technical and economic objectives.
4.1 Overview of RUL estimation methods
Hundreds of methods have been developed to estimate RUL, and have been widely published
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Methods and tools for intelligent predictive maintenance
Example of the application of predictive maintenance 4.0 to a fleet of elevators
Bibliography
Software tools
Matlab Tool box Predictive Maintenance Toolbox, [Software], Les Montalets 2 rue de Paris, 92196 Meudon Cedex, Meudon, France.
APM Health IoT platform, [Software] General Electric, San Ramon, California, USA.
Watson IoT platform, [Software], IBM France Company, 17 avenue de l'Europe 92275 Bois-Colombes Cedex.
Manufacturing Predictive Maintenance Platform,...
Websites
FactoryLab platform website : http://www.factorylab.fr
The Nouvelle France Industrielle (NFI) program: https://www.gouvernement.fr/action/la-nouvelle-france-industrielle
The 34 roadmaps of the Nouvelle...
Standards and norms
- Machine condition monitoring and diagnostics – Vocabulary - ISO 13372 - 2012
- Condition monitoring and diagnostics of machines – data interpretation and diagnostics techniques – Part 1: General guidelines - ISO13379-1 - 2012
- Machine monitoring and diagnostics – Prognosis – Part 1: General guidelines - ISO 13381-1 - 2015
- Condition monitoring and diagnostics of wind turbines – Part 1: General...
Directory
Organizations – Federations – Associations (non-exhaustive list)
AIF, Alliance Industrie du Futur website: http://www.industrie-dufutur.org/aif/
IEF, IEC terminology database : http://www.electropedia.org/
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