MINDSET’s overall goal is the development of an interdisciplinary approach, from both a professional and technical perspective, for the real-time, automated processing of (streaming) data for information retrieval using machine learning methods. From this data, companies can extract decision-relevant information, integrate it efficiently into business processes and thereby achieve far-reaching competitive advantages in existing market segments or offer new services.
This project specifically addresses intelligent digital life cycle files for wind turbines to demonstrate the potentials of such a life cycle reports for an efficient wind turbine operation. To achieve this, different learning methods will be applied to time series of wind turbines and combined with other methods for creating the digital life cycle report. eccenca contributes extensive experience in the design of integrated platforms and a component for the lifting of structured data sources via semi-automatically created lifting rules using a machine learning process. In addition, eccenca contributes its expertise in GDPR management for tagging the annotation component.
Duration: 01.06.2018 – 28.02.2021 | Funding source: Sächsische Aufbaubank (SAB) | Grant reference number: 100341559