Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB

Big Data, Machine Learning and Data Analytics

The key factors indicating the productivity of a manufacturing system are the output of good quality parts and/or lots and the availability of production equipment. To improve availability, new maintenance and repair strategies for machinery and equipment based on condition monitoring are receiving more and more attention. Instead of simple, corrective maintenance, there is a trend towards systems that make proactive proposals for maintenance and other services. At the same time, an overall perspective will be taken on production systems in the future, rather than considering individual machines or aggregates, as has been the case so far. The challenge is to collect data spanning the entire factory or disparate production systems and to evaluate and interpret them in a meaningful way.


Here ist what we can offer to you:


Testing the correct functionality, troubleshooting, anticipating potential failures of components and diagnosing and monitoring the underlying physical/technological process are measures that play a significant role in the economic operation of complex automation processes. To address the challenges in the field of condition monitoring and diagnosis, we provide customer-specific solutions for process and mechanical engineering and discrete production processes.