Lead: PROPHESY<\/a><\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Identification of a reference model for compiling existing technology that:<\/h3>\n\n\nprovides the means for diverse data collection, consolidation and interoperability<\/h5>\n<\/li>\n\nsupports digital automation functions that will close the loop to the field and will enable \u201cautonomous\u201d maintenance functionalities<\/h5>\n<\/li>\n\nallows the use of novel concepts (e.g. AR) in maintenance scenarios with particular emphasis on remote maintenance<\/h5>\n<\/li>\n\ncomplies with Industry 4.0 standardization<\/h5>\n<\/li>\n<\/ul>\n2. Analysis of existing approaches, including:<\/h3>\n\n\ncompetitor analysis<\/h5>\n<\/li>\n\ntechnology maturity analysis<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/h2>\nMain activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. ForeSee Cluster reference architectural model<\/h3>\n\n\nMapping ForeSee Cluster projects’ architecture and components to the reference architecture, e.g. RAMI 4.0<\/h5>\n<\/li>\n\nAlignment to Predictive Maintenance related Standards, e.g. EN 13306, EN 17007<\/h5>\n<\/li>\n<\/ul>\n<\/div>2. Database providing Predictive Maintenance state-of-the-art approaches,\ntechnologies and platforms<\/h3>\n\n\nexample: UPTIME Strategic Intelligence Platform<\/a><\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #2:\n<\/b>ForeSee Predictive Maintenance<\/strong>\nconcept for the Factory of the Future<\/strong><\/h1>\n<\/h1>\n<\/div>Lead:<\/strong> PROGRAMS<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Identification of the scientific and technological\ncommon ground that links the Foresee Cluster projects:<\/h3>\n<\/div><\/div><\/div><\/div><\/div><\/div>Scientific:<\/b><\/h5>\n\n\nReliability-based maintenance approaches<\/h5>\n<\/li>\n\nTrustworthy predictive maintenance<\/h5>\n<\/li>\n\nTrend reference models for prediction of equipment condition<\/h5>\n<\/li>\n\nIntegrated quality-maintenance methods and tools<\/h5>\n<\/li>\n\nSynchronise maintenance with production planning and logistics<\/h5>\n<\/li>\n\nFailure modes, effects, and criticality analysis (FMECA) techniques<\/h5>\n<\/li>\n\nPhysically-based models<\/h5>\n<\/li>\n\nOptimization of availability, maintainability, quality, safety while considering the system as a whole and throughout the production lifecycle.<\/h5>\n<\/li>\n\nTransferability to different industrial sectors (versatility)<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div> Technological:<\/b><\/h5>\n\n\nIntegration of very different actors (common platform vs networks of Smart Objects Technologies)<\/h5>\n<\/li>\n\nStandard communication protocols and data formats<\/h5>\n<\/li>\n\nVertical and horizontal scalability<\/h5>\n<\/li>\n\nSecurity at all levels<\/h5>\n<\/li>\n\nData safety<\/h5>\n<\/li>\n\nBig data management<\/h5>\n<\/li>\n\nLow level data collection, filtering and cleaning<\/h5>\n<\/li>\n\nExploitability from low CPU power end points (mobiles)<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>2. Creation of a common reference model that allows\ndepicting all ForeSee Cluster projects workflows<\/h3>\n<\/div>\n\nSelect and agree on a general model to cover all projects architectures (e.g. RAMI 4.0)<\/h5>\n<\/li>\n\nAdapt the general model to specific project needs to allow further indentification if integration of cluster solutions is possible<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #3:\nTrend-setting\nfor the future factory<\/strong><\/h1>\n<\/div>Lead: Z-BRE4K<\/a><\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Interoperability of future factory approaches for PdM\n<\/strong><\/h3>\n\n\nRetrofitting of physical models design<\/h5>\n<\/li>\n\nRUL estimation<\/h5>\n<\/li>\n\nFMECA<\/h5>\n<\/li>\n\nDigital twins<\/h5>\n<\/li>\n\nData spaces<\/h5>\n<\/li>\n\nCognitive manufacturing<\/h5>\n<\/li>\n\nIndustrie 4.0 and RAMI compliance<\/h5>\n<\/li>\n<\/ul>\n<\/div>2. Applications of key indicators for PdM\n<\/strong><\/h3>\n\n\nMaintenance Terminology – EN 13306:2017<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/span>3. Identifications of available maintenance standards\n<\/strong><\/h3>\n\n\nDescribe the maintenance landscape<\/h5>\n<\/li>\n\nIdentify the knowledge required at different levels of:<\/h5>\n<\/li>\n\nTechnical director \/ Physical asset manager<\/h5>\n<\/li>\n\nMaintenance manager<\/h5>\n<\/li>\n\nMaintenance engineer and supervisor<\/h5>\n<\/li>\n\nMaintenance technicians<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #4:\n<\/b>New model for sustainable factories<\/strong>\nthrough efficient predictive maintenance<\/strong><\/h1>\n<\/h1>\n<\/div>Lead:<\/strong> PRECOM<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>\n\nForeSee business model: Predictive Maintenance offered as a service<\/h5>\n<\/li>\n\nRegulatory aspects<\/h5>\n<\/li>\n\nData ownership and management<\/h5>\n<\/li>\n<\/ul>\n <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Lead:<\/strong> PROGRAMS<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Identification of the scientific and technological\ncommon ground that links the Foresee Cluster projects:<\/h3>\n<\/div><\/div><\/div><\/div><\/div><\/div>Scientific:<\/b><\/h5>\n\n\nReliability-based maintenance approaches<\/h5>\n<\/li>\n\nTrustworthy predictive maintenance<\/h5>\n<\/li>\n\nTrend reference models for prediction of equipment condition<\/h5>\n<\/li>\n\nIntegrated quality-maintenance methods and tools<\/h5>\n<\/li>\n\nSynchronise maintenance with production planning and logistics<\/h5>\n<\/li>\n\nFailure modes, effects, and criticality analysis (FMECA) techniques<\/h5>\n<\/li>\n\nPhysically-based models<\/h5>\n<\/li>\n\nOptimization of availability, maintainability, quality, safety while considering the system as a whole and throughout the production lifecycle.<\/h5>\n<\/li>\n\nTransferability to different industrial sectors (versatility)<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div> Technological:<\/b><\/h5>\n\n\nIntegration of very different actors (common platform vs networks of Smart Objects Technologies)<\/h5>\n<\/li>\n\nStandard communication protocols and data formats<\/h5>\n<\/li>\n\nVertical and horizontal scalability<\/h5>\n<\/li>\n\nSecurity at all levels<\/h5>\n<\/li>\n\nData safety<\/h5>\n<\/li>\n\nBig data management<\/h5>\n<\/li>\n\nLow level data collection, filtering and cleaning<\/h5>\n<\/li>\n\nExploitability from low CPU power end points (mobiles)<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>2. Creation of a common reference model that allows\ndepicting all ForeSee Cluster projects workflows<\/h3>\n<\/div>\n\nSelect and agree on a general model to cover all projects architectures (e.g. RAMI 4.0)<\/h5>\n<\/li>\n\nAdapt the general model to specific project needs to allow further indentification if integration of cluster solutions is possible<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #3:\nTrend-setting\nfor the future factory<\/strong><\/h1>\n<\/div>Lead: Z-BRE4K<\/a><\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Interoperability of future factory approaches for PdM\n<\/strong><\/h3>\n\n\nRetrofitting of physical models design<\/h5>\n<\/li>\n\nRUL estimation<\/h5>\n<\/li>\n\nFMECA<\/h5>\n<\/li>\n\nDigital twins<\/h5>\n<\/li>\n\nData spaces<\/h5>\n<\/li>\n\nCognitive manufacturing<\/h5>\n<\/li>\n\nIndustrie 4.0 and RAMI compliance<\/h5>\n<\/li>\n<\/ul>\n<\/div>2. Applications of key indicators for PdM\n<\/strong><\/h3>\n\n\nMaintenance Terminology – EN 13306:2017<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/span>3. Identifications of available maintenance standards\n<\/strong><\/h3>\n\n\nDescribe the maintenance landscape<\/h5>\n<\/li>\n\nIdentify the knowledge required at different levels of:<\/h5>\n<\/li>\n\nTechnical director \/ Physical asset manager<\/h5>\n<\/li>\n\nMaintenance manager<\/h5>\n<\/li>\n\nMaintenance engineer and supervisor<\/h5>\n<\/li>\n\nMaintenance technicians<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #4:\n<\/b>New model for sustainable factories<\/strong>\nthrough efficient predictive maintenance<\/strong><\/h1>\n<\/h1>\n<\/div>Lead:<\/strong> PRECOM<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>\n\nForeSee business model: Predictive Maintenance offered as a service<\/h5>\n<\/li>\n\nRegulatory aspects<\/h5>\n<\/li>\n\nData ownership and management<\/h5>\n<\/li>\n<\/ul>\n <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Lead: Z-BRE4K<\/a><\/strong><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>1. Interoperability of future factory approaches for PdM\n<\/strong><\/h3>\n\n\nRetrofitting of physical models design<\/h5>\n<\/li>\n\nRUL estimation<\/h5>\n<\/li>\n\nFMECA<\/h5>\n<\/li>\n\nDigital twins<\/h5>\n<\/li>\n\nData spaces<\/h5>\n<\/li>\n\nCognitive manufacturing<\/h5>\n<\/li>\n\nIndustrie 4.0 and RAMI compliance<\/h5>\n<\/li>\n<\/ul>\n<\/div>2. Applications of key indicators for PdM\n<\/strong><\/h3>\n\n\nMaintenance Terminology – EN 13306:2017<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/span>3. Identifications of available maintenance standards\n<\/strong><\/h3>\n\n\nDescribe the maintenance landscape<\/h5>\n<\/li>\n\nIdentify the knowledge required at different levels of:<\/h5>\n<\/li>\n\nTechnical director \/ Physical asset manager<\/h5>\n<\/li>\n\nMaintenance manager<\/h5>\n<\/li>\n\nMaintenance engineer and supervisor<\/h5>\n<\/li>\n\nMaintenance technicians<\/h5>\n<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Activity Area #4:\n<\/b>New model for sustainable factories<\/strong>\nthrough efficient predictive maintenance<\/strong><\/h1>\n<\/h1>\n<\/div>Lead:<\/strong> PRECOM<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>\n\nForeSee business model: Predictive Maintenance offered as a service<\/h5>\n<\/li>\n\nRegulatory aspects<\/h5>\n<\/li>\n\nData ownership and management<\/h5>\n<\/li>\n<\/ul>\n <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
Lead:<\/strong> PRECOM<\/strong><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/span><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>Objectives and main activities:<\/strong><\/h2>\n<\/div><\/div><\/div>\n\nForeSee business model: Predictive Maintenance offered as a service<\/h5>\n<\/li>\n\nRegulatory aspects<\/h5>\n<\/li>\n\nData ownership and management<\/h5>\n<\/li>\n<\/ul>\n <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
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