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FoF and Made in Europe Partnership
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Relevant:
Associated Results
Predictive and Explainable Machine Learning for Industrial Internet of Things Applications
An attribute oriented induction based methodology to aid in predictive maintenance: anomaly detection, root cause analysis and remaining useful life
Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model
Towards Large-Scale, Heterogeneous Anomaly Detection Systems in Industrial Networks: A Survey of Current Trends
Who’s There? Evaluating Data Source Integrity and Veracity in IIoT Using Multivariate Statistical Process Control
Configurable Distributed Data Management for the Internet of the Things
NOVAAS: A Reference Implementation of Industrie4.0 Asset Administration Shell with best-of- breed practices from IT engineering
A Cyber-Physical Approach to Resilience and Robustness by Design
End-to-End Industrial IoT Platform for Actionable Predictive Maintenance
Avoiding the Hay for the Needle in the Stack: Online Rule Pruning in Rare Events Detection
RUL Prediction for Cold Forming Production Tooling
Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation.