Join our live webinar during the Industry Days on April 21-22, 2020:
Modern production sites collect huge amounts of data - from sensor data like speed or vibration to environmental information like the current ambient temperature. Linking these data together and analyzing them by means of intelligent algorithms allows for data-based predictions on conditions. This helps to detect occurring malfunctions at an early stage so that upcoming maintenance activities can be coordinated and downtimes avoided.
We present an application of this approach to wind turbine data, which supports maintenance decisions proactively, and discuss insights and success factors.
Speaker: Dr. Thomas Christ, Chief Data Scientist, prognostica GmbH
Date: April 22, 2020
Time: 11:00 - 11:30 CEST
Keywords: Predictive maintenance; Data analytics; Sensor data; Big data; Multivariate monitoring; Condition monitoring
Registration: to the website of the industrial generation network