Att förutsäga framtiden

Ever since the dawn of humanity prediction and forecasting the future have been in focus. One of the main objective with the ongoing transition towards smart factories is increased predictability of system capability and performance. In this context machines and tools will have inbuild capabilities to make self-diagnose, become self- learning and possess the ability to perform self-adjustments. In this seminar, we will show new technologies for industrial analytics and data-driven solutions for increased manufacturing performance and maintenance. We will also discuss the combination of data-driven with knowledge-based for a hybrid physics-based analytics approach that relieves the weaknesses of both individual approaches by leveraging their complementary strengths.

The seminar summarizes a number of ongoing and completed research activities in the field of industrial analytics and maintenance among other projects with Swedish industry and the European Space Agency (ESA). The talk will be given in English.

Medverka