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Operations and Maintenance in Wind Turbines

University: TUS
Date: February 2026
Expected Duration: 1–3 Months
Format: Hybrid
Level: Advanced
Language of Instruction: English
Registration Deadline: 06 February 2026
Price: TBC

Course Overview

Keeping wind turbines spinning isn’t just about fixing breakdowns—it’s about smart strategies that keep costs low and performance high. This module dives into the full world of wind turbine operations and maintenance (O&M), from reliability metrics and failure modes to cutting-edge digital solutions. You’ll learn how condition-based and predictive maintenance use tools like vibration monitoring, thermal imaging, and SCADA data to catch problems early. We’ll also explore how AI and machine learning are transforming predictive models, helping operators move from reacting to anticipating issues. Remote monitoring takes centre stage too—you’ll see how sensors, drones, and data platforms give real-time insight into turbine health, and how digital twins and CMMS tools are reshaping maintenance planning. Finally, we’ll tackle the big-picture challenges: logistics, spare parts, workforce management, and the growing importance of cybersecurity in connected wind farms. By the end, you’ll understand how O&M strategies drive reliability, extend turbine lifetimes, and unlock real value from renewable energy assets.

Main Goal

This module provides an in-depth exploration of the strategies, technologies, and best practices involved in the operations and maintenance of wind turbines. It covers the entire lifecycle of wind energy systems, emphasizing reliability, predictive maintenance, remote monitoring, and the integration of digital technologies to optimize performance and reduce costs.

Skills To Be Gained

On completion of this module the learner will/should be able to;

  1. Evaluate the role of operations and maintenance in the lifecycle of wind energy systems, including reliability and availability metrics.
  2. Apply condition-based and predictive maintenance techniques using sensor and SCADA data.
  3. Analyse remote monitoring systems and data acquisition frameworks for wind turbines and wind farms.
  4. Develop strategies to optimise maintenance planning and reduce lifecycle costs through digital technologies.
  5. Critically assess the organisational, logistical, and cybersecurity considerations in implementing advanced O&M practices.

Practical Notes

Contact TUS for information on discounted fees.

Contact details: Gerard Cahill, TUS DigiWind Manager, gerard.cahill@tus.ie

Requirements

  1. Bachelor Degree in Engineering, Technology or Science, or equivalent.

Teaching And Assessment

Lectures: Introduce theoretical frameworks and engineering principles. Workshops/Labs: Hands-on use of design and simulation software tools. Seminars: Student-led discussions on emerging trends and case studies. Field Visits: Site visits to operational wind farms for practical insights. Independent Study: Research and practical exploration of wind energy systems. 100% Continuous assessment.

Course Staff

Christoffer Hanevig, Lecturer, Dept of Electrical and Electronic Engineering, Faculty of Engineering & Technology, TUS, Ireland.

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