KerWind

Problem

• Unplanned downtime due to disturbances
• Rising maintenance and repair costs
• Heterogeneous data types of operating and weather values

Solution approach

• Preparation and aggregation of data of operating and weather data for resilient processing through artificial intelligence algorithms
• Development of methods for detecting anomalies
• Proposal-based derivation of suitable maintenance measures
• Logging and repatriation of the practice-oriented measures

Use

• Creation of a homogeneous database to increase data quality
• Support of technical management in the assessment of anomalies
• Support of service teams to assess the effort to be made