Use Case Predictive Maintenance


A large plant is equipped with a large number of sensors that record measurements at short intervals. These measurements are supposed to provide information on unusual conditions in the plant at an early stage. Such malfunctions should be detected and addressed at an early stage. It should be noted that the values of the sensors are often highly dependent on external conditions and on each other. What maintenance work is necessary and when should it be carried out?


Multivariate monitoring of sensors supports the detection of error states. Warning signals are automatically issued in case of unexpected behavior. A user dashboard as well as a mobile application enable the display and tracing of the error cause or position.


  • Early replacement of defective parts
  • Determination of the remaining service life of parts
  • Avoidance of unplanned production downtimes

Learn more

This video provides a deep dive into the topic of "Planning Maintenance Activities with Data Analytics" using the example of wind turbine monitoring:

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