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8. Conclusion
Intelligent predictive maintenance for Industry 4.0 is a maintenance strategy that benefits from the new developments of the fourth industrial revolution. To successfully achieve its main objective - predicting the instant of failure occurrence - its implementation requires mastery of a large number of associated concepts and tools (Internet of Industrial Objects, data analysis, data mining, cloud, big data, artificial intelligence...). This is why it is mainly large companies with data science skills that are currently successfully using it for large fleets of equipment (elevators, aircraft engines, etc.). This is because, to be effective and provide an appropriate return on investment, it is necessary to have large quantities of data on equipment behavior.
The results obtained on the industry 4.0 experimental platforms or those of the Industry of the Future showcases...
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Glossary
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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