AI-Driven Load Sensing for Wind Turbine Operations

Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 120, pp. 192–195

Abstract

Abstract Monitoring drivetrain loads is essential for reliable wind turbine operations, yet traditional methods rely on complex rotating sensors. This paper highlights the industrial relevance of AI-driven virtual sensing, utilizing a static sensor setup and machine learning models trained on real-world data to optimize turbine reliability, reduce costs, and enhance operational predictability.

Authors 3

1. Baher Azzam
   Affiliation as printed

   Machinalytics (Cognitech UG) ; Jülicher Str. 209d , Aachen Germany

2. Ralf Schelenz Aachen

   RWTH Aachen University

   Affiliation as printed

   CWD, RWTH Aachen University Aachen Germany

3. Georg Jacobs Aachen

   RWTH Aachen University

   Affiliation as printed

   CWD, RWTH Aachen University Aachen Germany