By combining the industry 4.0 approaches of self-adaptation, networking and power self-sufficiency with the latest sensor technology from acoustics and using new EDA development methods four objectives will be addressed:
First, a contribution will be made to "I4.0 Made in Germany" and will be introduced as a competitive advantage for German Mechanical Engineering. The new self-learning sensor systems shall monitor not only the respective components themselves but also their environment and thus can increase the reliability of the overall system (industrial demonstrator 1). The planned Acoustic Condition Monitoring Electronics Platform (ACME) can be quickly configured and deployed via software for other components. More flexibility and competitive advantages can be created by power self-sufficiency and wireless communications.
As a second objective, the suitability of the aforementioned ACME approach is to be demonstrated in a German company (demonstrator 2): IFAG is the largest German semiconductor manufacturer with a strong focus on the automotive sector, where quality and reliability are key competitive parameters. Due to the acoustic monitoring reliability will be ensured even when mounted in the likely smaller structures of tomorrow.
Thirdly, a development environment, a powerful test platform and a low-cost demonstration platform should be available for the research partners for the I4.0 application "self-learning condition monitoring (CM)" to accelerate future developments and to secure a competitive advantage over international competitors.
Finally, the EDA methods developed in German and European projects should be used and be extended to a number of component models. Thus, the pool of know-how and IP in this area will be strengthened for the development of innovative systems in Germany.
