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LINKEDDESIGN | Linked Knowledge in Manufacturing, Engineering and Design for Next-Generation Production

01-09-2011

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31-08-2015

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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data storage
ICT solutions for next generation data storage and information mining
Comment: The project created a data integration layer in order to integrate the different data storages, from structured data sources and unstructured files and web sources. Security and trust will be handled by the network layers below the data protocols. Furthermore, data are collected from the fields thanks to PLM Data service, returning valuable knowledge to the stakeholders. "Metrology-driven Manufacturing in the Automobile Industry" as developed in LD is the data storrage and data mining to deduce case and effect realtion in order to optimze the processes.

PSYMBIOSYS | Product-Service sYMBIOtic SYStems

01-02-2015

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01-02-2018

: 3
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Technologies and enablers
Information and communication technologies
Data collection, storage, analytics, processing and AI
Data storage
ICT solutions for next generation data storage and information mining
Comment: Through semantic interoperability information sharing and identification is eased; moreover also real time data stream processing and big data analytics will be enabled and implementing them in a conclusive mobile-enabled Symbiotic Manufacturing Intelligence Platform in product-service design value networks.

IMPROVE | Innovative Modeling Approaches for Production Systems to raise validatable efficiency

09-01-2015

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31-08-2018

: 7
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Technologies and enablers
Information and communication technologies
Comment: ICT solutions enable the work in IMPROVE. Big Data is collected from the production plants and modern machine learning techniques are used to learn models from data, drastically reducing the manual modelling efforts. Learned models can adapt to the modern, fast changing systems and are available for tasks like condition monitoring and root cause analysis. The results are then displayed to the user, hiding the systems complexity.
Data collection, storage, analytics, processing and AI
Results:
An algorithm to identifying the root cause of a fault
An algorithm to identifying the root cause of a fault
Data storage
ICT solutions for next generation data storage and information mining
Comment: Information can also be extracted from higher level data, like alarm lists. Causalities can be learned from alarm floods and bursts and the resulting models can extract possible root causes of faults.
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