Description data processing remotely, advanced IoT system and smart devices for data collection and monitoring of machinery conditions, artificial intelligence methods for predictive maintenance (data analytics
Comments Prediction - forecasting Addressed processes BAsed on the data analytics implementation the appropriate machine learning techniques will be implemented to enable the condition evaluation and
 Data Management Plan Result title Data Management Plan
 White goods use case Result description Data Visualization and Analytics were provided back to operators via the SERENA platform.
 Data analytics Taxon title Data analytics
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.

Description Nevertheless, there are still barriers to successful deployment including the issues of data fragmentation, limited data interoperability, poor deployment of advanced analytics and lack of effective integration
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result title A roadmap to development and implementation.
 Integrated PROPHESY-ML toolkit v1 Result description The integrated PROPHESY-ML framework, including data collection mechanisms and data analytics algorithms.
 Integrated PROPHESY-ML toolkit v2 Result description The integrated PROPHESY-ML framework, including data collection mechanisms and data analytics algorithms.

Comments and Factories Domain 2: Adaptive and smart manufacturing systems Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.5 Multi-level simulation and analytics
 Digital manufacturing platforms - data platforms Taxon title Digital manufacturing platforms - data platforms
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.

Description QU4LITY will demonstrate, in a realistic, measurable, and replicable way an open, certifiable and highly standardised, SME-friendly and transformative shared data-driven ZDM product and service model for
Organisation INTERNATIONAL DATA SPACES EV
Comments collection, storage, analytics, processing and AI Information and communication technologies Data analytics Technologies and enablers Data collection, storage, analytics, processing and AI Information
 BigData and Analytics Infrastructure (Version 1) Result title BigData and Analytics Infrastructure (Version 1) Result description Prototype implementation of the BigData infrastructure that will be support data collection, storage and analytics

Description This will be done through development, implementation and testing of the following technological components: A tool for determining optimal human-automation levels for load balancing, based on methods
 Enabling Knowledge Transfer through Analytics in Industrial Social Networks Result title Enabling Knowledge Transfer through Analytics in Industrial Social Networks
 White paper - Human-centred factories from theory to industrial practice. Lessons learned and recommendations Result description The core target groups of this report are people in academia, industry practitioners and policy makers at the local, national and EU levels.

Comments analytics from heterogeneous sources.
 Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics Result title Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics
 Data Management Plan (DMP) Result description The plan will describe ways to manage all research data, and metadata, during and after the project duration.
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI Comments analytics from heterogeneous sources.

Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Collaboration platform, Virtual
 EPES Decision Making Module (DMM) Result description , post processing) • Data analysis and reporting through Business Intelligence analytics (ETL, OLAP) • EPES SM ICT Module
 ICT solutions for next generation data storage and information mining Taxon title ICT solutions for next generation data storage and information mining
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.

Description cross-domain analytics and a Decision Support System.
Comments Enterprise - Factory Manufacturing system levels Manufacturing system levels The COMPOSITION IIMS will include a core set of data management and analytics tools to fuse data coming from different disjoint
 Big data mining and analytics tools I Result title Big data mining and analytics tools I Result description A public software deliverable, led by Fraunhofer, featuring the Big data mining and analytics tools
 Big data mining and analytics tools II Result title Big data mining and analytics tools I Result description A public software deliverable, led by Fraunhofer, featuring the Big data mining and analytics tools
 Data analytics Taxon title Data analytics
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.

Description The data collected is analysed to detect complex events that trigger automated actions.
Comments Data Analytics and IoT/CPS modules [SAG] will seek to comply to existing manufacturing standards and possibly test their effectiveness Field Device Manufacturing system levels Manufacturing system levels
 D4.2: DATA ANALYTICS TOOLKIT Result title D4.2: DATA ANALYTICS TOOLKIT
 D2.3: The DISRUPT Platform Integration Plan Result description implementation of the analytics and decision-support processes.
 Data analytics Taxon title Data analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.

Description FAR-EDGE will provide a reference implementation of emerging standards-based solutions for industrial automation, along with simulation services for validating automation architectures and production scheduling
Comments storage and information mining Technologies and enablers Data storage Data collection, storage, analytics, processing and AI Information and communication technologies Collaborative and decentralized
 Distributed Data Analytics Infrastructure - M12 release Result title Distributed Data Analytics Infrastructure - M12 release Result description Based on the outcomes of task T3.4, this deliverable is the prototype implementation of a data analytics infrastructure over the edge nodes of the edge computing architecture.
 Distributed Data Analytics Infrastructure - M24 release Result description Based on the outcomes of task T3.4, this deliverable is the prototype implementation of a data analytics infrastructure over the edge nodes of the edge computing architecture.
 Data analytics Taxon title Data analytics
 RP 3.5 Multi-level simulation and analytics for improving production quality and throughput Taxon description and data analytics tools will identify deviations between expected and actual results allowing early management of factory and production issues.

Description UPTIME will enable manufacturing companies having installed sensors to fully exploit the availability of huge amounts of data with respect to the implementation of a predictive maintenance strategy.
Organisation SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED
Comments analytics in boosting asset availability and service levels in manufacturing operations.
 Foresee Cluster - Predictive maintenance technologies for production systems. A roadmap to development and implementation. Result title A roadmap to development and implementation.
 FTT use case: Transportation Logistics Result description The FFT use case starts with the implementation of UPTIME_SENSE to acquire sensor data.
 Data collection, storage, analytics, processing and AI Taxon title Data collection, storage, analytics, processing and AI
 AAA - Access, Authorisation and Authentication Taxon description Access control levels can thus be set up on different layers.
 Advanced material processing technologies Comments analytics in boosting asset availability and service levels in manufacturing operations.
 R&I Objective 1.5: Advanced Manufacturing processes for smart and complex products Comments analytics in boosting asset availability and service levels in manufacturing operations.
 R&I Objective 3.3: Transparency, trust and data integrity along the product and manufacturing life-cycle Comments analytics in boosting asset availability and service levels in manufacturing operations.
 R&I Objective 4.5: Technology validation and migration paths towards industrial deployment of advanced manufacturing technologies by SMEs Comments analytics in boosting asset availability and service levels in manufacturing operations.