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Prediction and Adaptation in Predictive Maintenance Systems (Strategic Project)

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Strategic Project "Prediction and Adaptation" in Predictive Maintenance Systems

Basic research project to

  • improve current adaptive and evolving data-driven models in predictive maintenance (PdM) systems,
  • develop and improve automated process optimization techniques based on time-series forecast models,
  • perform enhanced anomaly detection for early recognition of arising problems,
  • develop new methods and algorithms for improved robustness, performance and useability of PdM models and optimization in dynamic processes.

 
 

Partner: 

LCM

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