Course Overview

Do you want to master the fundamentals of Prognostics and Health Management (PHM) in the wind energy sector? This course equips you with a comprehensive understanding of PHM principles, methodologies, and technologies. Participants will learn to apply basic PHM strategies and critically evaluate their role in informed decision-making across the design, manufacturing, operation, and maintenance of wind energy systems.

Main Goal

To be updated.

Skills To Be Gained

After this course, you can

1. Explain the fundamental principles, methodologies, and technologies of Prognostics and Health Management (PHM) and their application in the wind energy sector.
2. Describe how PHM systems are designed and implemented to monitor and assess the health of wind turbine components during manufacturing and operation.
3. Apply basic model-based and data-driven techniques to predict degradation, failure modes, and lifespan of wind energy systems and components.
4. Use PHM tools to predict potential failures and optimise manufacturing processes and maintenance strategies, reducing downtime and improving operational efficiency.
5. Analyse real-time monitoring data and use diagnostic tools to assess the condition of wind farm assets and identify issues proactively.
6. Evaluate the role of PHM in ensuring the safety, reliability, and performance of wind turbines, with particular attention to the challenges and opportunities in offshore wind energy.
7. Critically assess the integration of PHM systems with digital technologies such as IoT, machine learning, artificial intelligence, and big data analytics for predictive maintenance in the wind industry.

Practical Notes

This course will be stackable with other LLL courses that will be developed by DTU Wind, to form certain specialisations or micro-degrees.