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For course-specific questions, please contact the course responsible Philipp Ulrich Haselbach, Associate Professor at DTU Wind, phih@dtu.dk
Didn't find what you were looking for? Or need a customised training solution for your company? Contact Karsten Kryger, Coordinator of Lifelong Learning at DTU Wind, kkry@dtu.dk
After this course, you can
Explain the fundamental principles, methodologies, and technologies of Prognostics and Health Management (PHM) and their application in the wind energy sector.
Describe how PHM systems are designed and implemented to monitor and assess the health of wind turbine components during manufacturing and operation.
Apply basic model-based and data-driven techniques to predict degradation, failure modes, and lifespan of wind energy systems and components.
Use PHM tools to predict potential failures and optimise manufacturing processes and maintenance strategies, reducing downtime and improving operational efficiency.
Analyse real-time monitoring data and use diagnostic tools to assess the condition of wind farm assets and identify issues proactively.
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.
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.
Meet your teachers
Learn from world-class researchers and passionate educators who bring cutting-edge expertise and hands-on experience into the classroom.
Philipp Ulrich Haselbach
Associate Professor
Philipp Ulrich Haselbach is an Associate Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specialising in structural design and testing within the Wind Energy Materials and Components Division. His research focuses on...
About the Course
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.
Mohit Sharma
Senior Vice Presiden at Marubeni Corporation
Singapore
“Solid and comprehensive overview!”
"For anyone considering a career transition, this course offers a solid and comprehensive overview of wind energy. It equips you with the essential knowledge and skills needed to smoothly transition into the wind energy field."
Sophie Yin
Renewables Engineer, Woodside Energy
Australia
“Flexible learning with outstanding support!”
“What I enjoy the most about the programme is the flexibility. I have been able to access the content around other aspects of my life, which has been very valuable. Also, the lecturers have made them available to the students online to answer questions and actually provide knowledge beyond the course, which I really enjoyed.”
Fahd Outailleur
Head of Engineering at Enel Green Power
Morocco
“Europe’s leader in wind energy”
“I chose to enrol in this wind energy master's program because DTU is the leading technical university in Europe, renowned for its specialization in wind energy. The program reflects the state of the art of the sector. Before joining, I knew some of their software programmes like WAsP and the Global Wind Atlas. So I was confident about the quality of the training.”
DTU Student Testimonials
Discover what DTU students have to say about their journey, their experiences, and the skills they’ve gained.
Financing Options
We offer a range of discounts and packages to make the programme more accessible.
Early Bird Discount
Register before 01 December
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20%
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Sign up together with a colleague and you’ll both receive
10%
Off
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Team-Based Learning
Enroll a group of 3 or more participants from the same company and benefit from special team pricing.
Boost collaboration and apply knowledge directly in your workplace.
Join with your team
13 weeks, hybrid, full-time (7.5 hours/day)
A basic understanding of engineering concepts—such as loads, strains, stresses, failure criteria—and familiarity with wind turbine functionality and components, as well as basic programming skills, are beneficial but not required.
The course is delivered online or in a hybrid format, combining live and recorded lectures, interactive quizzes, Q&A sessions, and on-demand support.
Evidence your learning with a Certificate of Achievement from the DTU on successful completion.
This course will be stackable with other LLL courses that will be developed by DTU Wind, to form certain specialisations or micro-degrees.
