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The HEROES project develops advanced machine learning techniques to enhance the longevity and reliability of complex assets like wind turbines. By modeling degradation and interdependencies, it aims to optimize maintenance strategies and reduce environmental impact through innovative decision support systems.
The HEROES project proposes a transformative framework for longevity-focused health management of complex assets, shifting the focus from short-term performance metrics to long-term sustainability, reliability, and efficiency.
While traditional methods prioritize immediate fault detection, they often overlook the interdependencies and evolving operational loads that influence asset lifespan. HEROES bridges these gaps by developing novel physics-informed machine learning (PIML) techniques to mode…
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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