|Organisation:||BIBA - BREMER INSTITUT FUER PRODUKTION UND LOGISTIK GMBH|
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Associated results, demos etc.
- Machine Learning for Predictive and Prescriptive Analytics of Operational Data in Smart Manufacturing
- Predictive Maintenance in a Digital Factory Shop-Floor: Data Mining on Historical and Operational Data Coming from Manufacturers’ Information Systems
- A RAMI 4.0 View of Predictive Maintenance: Software Architecture, Platform and Case Study in Steel Industry
- Part 6 Summary: Predictive Maintenance in Industry 4.0 - Methodologies, Tools and Interoperable Applications
- Decision Making in Predictive Maintenance: Literature Review and Research Agenda for Industry 4.0
- Prescriptive analytics: Literature review and research challenges
- Real-time Predictive Maintenance Based on Complex Event Processing
- The Standards as Critical Means of Integration of Advanced Maintenance Approaches to Production Systems
- DRIFT: A Data-driven Failure Mode, Effects and Criticality Analysis Tool
- Prescriptive Analytics: A Survey of Approaches and Methods