4. Intelligent predictive maintenance methods and tools
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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Intelligent predictive maintenance methods and tools
Bibliography
Software tools
MATLAB Toolbox Predictive Maintenance (l1) Software, Les Montalets,
2, rue de Paris, 92196 Meudon, France.
APM Health IoT platform, General Electric, San Ramon, California, USA.
Watson IoT platform, IBM France Company, 17, avenue de l'Europe
92275 Bois-Colombes Cedex.
Manufacturing Predictive Maintenance...
Websites
FactoryLab platform website http://www.factorylab.fr
The Nouvelle France Industrielle (NFI) program http://www.economie.gouv.fr/nouvelle-france-industrielle/accueil
The 34 roadmaps of New...
Standards and norms
- Manufacturing Standards Map (SM2) – Part 1: Framework - ISO/IEC TR 63306-1 - 2020
- Smart Manufacturing Standards Map (SM2) – Part 2: Catalogue: Mapping of norms (and standards) for intelligent manufacturing (SM2) - ISO/IEC TR 63306-2 - 2021
- Machine condition monitoring and diagnostics – Vocabulary - ISO 13372 - 2012
- Condition monitoring and diagnostics of machines – data interpretation and diagnostics...
Directory
Organizations – Federations – Associations (non-exhaustive list)
AIF, Alliance Industrie du Futur website http://www.industrie-dufutur.org/aif/
IEC terminology database http://www.electropedia.org/
...
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