AI-Driven Load Sensing for Wind Turbine Operations Cost-Effective Solutions for Turbine Reliability
RWTH Publications (RWTH Aachen)
Abstract
Cost-Effective Solutions for Turbine ReliabilityMonitoring 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
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Baher Azzam Aachen
Affiliation as printed
RWTH Aachen
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Ralf Schelenz Aachen
Affiliation as printed
RWTH Aachen
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Georg Jacobs Aachen
Affiliation as printed
RWTH Aachen
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