Fraunhofer Institute for Integrated Circuits IIS, Division Engineering of Adaptive Systems EAS
The increasing digitalization and networking of production processes in the context of Industry 4.0 is leading to numerous challenges that demand innovative solutions. A particular focus lies here on the automatic data analysis of measurement and process data for intelligent condition monitoring and quality assurance.
Diverse data is collected already at many companies, however, this data is generally not extensively utilized. With efficient structuring, self-learning systems and new big data approaches, the potential of this data can be exploited and converted into strategic competitive advantages.
For example, predictive approaches supply meaningful information about the condition of wear on components like motors, pumps and bearings. You, too, can profit from our innovative analysis algorithms and in-depth practical experience. We offer you an extensive portfolio ranging from condition monitoring to predictive maintenance and even quality assurance aspects in production processes.
