Conclusion
Intelligent Predictive Maintenance for industry 4.0
Archive REF: MT9572 V1
Conclusion
Intelligent Predictive Maintenance for industry 4.0

Author : Gilles ZWINGELSTEIN

Publication date: October 10, 2019 | Lire en français

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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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