Objective
The vision of SelSus is to create a new paradigm for highly effective, self-healing production resources and systems to maximise their performance over longer life times through highly targeted and timely repair, renovation and up-grading. These next generation machines, fixtures and tools will embed extended sensory capabilities and smart materials combined with advanced ICT for self-diagnosis enabling them to become self-aware and supporting self-healing production systems. Distributed diagnostic and predictive repair and renovation models will be embedded into smart devices to early prognosis failure modes and component degradations. Self-aware devices will built on synergetic relationship with their human operators and maintenance personnel through continuous pro-active communication to achieve real self-healing systems. This will drastically improve the resilience and long term sustainability of highly complex manufacturing facilities to foreseen and unforeseen disturbances and deteriorations thereby minimising energy and resource consumption and waste.
The SelSus vision will be achieved by the development of a new synergetic diagnostic and prognosis environment which is fully aware of the condition and history of all the machine components within a system or factory and is in constant knowledge enriched dialogue with their human personnel. The SelSus project will adopt a systematic approach, supported by a well-defined work plan. The work plan comprises nine carefully defined work packages. In order to guarantee fully committed teams towards comprising goals, the number of individual work packages is kept clearly constrained. The strong industrial pull for the project will be translated into a clear set of industrial requirements aimed at well-defined demonstration scenarios from the automotive and white goods industry.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Programme(s)
Call for proposal
FP7-2013-NMP-ICT-FOF(RTD)
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
80686 Munchen
Germany
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Participants (15)
NG7 2RD Nottingham
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CV7 9JU Coventry
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21079 Hamburg
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33080 Porcia
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70499 STUTTGART
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78120 Furtwangen
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01237 Dresden
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1114 BUDAPEST
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9000 Aalborg
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3030-290 Coimbra
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CM13 3BW Brentwood
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Participation ended
RM13 8EU Rainham
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SS5 4LS Hockley Essex
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LE11 3TU Loughborough
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E9 5EN London
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