The project proposal "Intelligent Reliability 4.0" has the clear goal of improving the reliability of electronic systems along the entire value chain. Electronic components and systems should be faster reliable, which means that development processes can be transferred faster to production and also lead to an improved quality level through fundamental understanding of physical failure mechanisms (PoF) and the use of Artificial Intelligence methods. The reliability must also be guaranteed, when using the systems in new and critical environments (corrosive chemicals, extreme temperatures), whereby new materials must also be used. The currently valid Automotive Standard AEC Q 100 serves as a baseline for assessing progress beyond state of the art. It currently contains the highest requirements and, as an application field, also reflects the economic relevance for Europe. Reliability is also essentially determined by further optimized manufacturing processes and procedures. Initiatives which, supported by ML (machine learning) and big data analyses, lead to improved quality levels with faster and more comprehensive decisions in production are summarized in the iRel 4.0 project under the term Quality4.0. This approach is seen by the industrial partners as a necessary and co-decisive contribution to increasing reliability. New test methods and extended implementation of sensor-based system controlling can identify risks, as well as enable new models of maintenance. This will become more and more important e.g. in the field of autonomous driving, in offshore power generation and in the entire environment of the digitized industry. Intelligent Reliability 4.0 will support the entire European industry, our mobility and infrastructure, but also our social transformation into the digital world through more reliable electronic components and systems and will give the ECS industry in Europe a competitive advantage.
|Effective start/end date||1/05/20 → 30/04/23|
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