Wind turbine inspection course using UAVs
About our
The Wind Turbine Inspection Course with UAVs focuses on the use of drones (UAVs) for wind turbine inspection, combining aerial photography, videography, and sensor technology. Training covers flight planning, data acquisition, and image analysis to detect damage, corrosion, and other issues on blades and structures. Emphasis is placed on compliance with aviation safety regulations and the use of image analysis software for accurate assessment. The objective is to train professionals capable of performing efficient and accurate inspections, optimizing the maintenance and lifespan of wind turbines. The course includes hands-on practice in drone operation, the use of thermal cameras and specialized sensors, and the interpretation of results. It also covers the preparation of detailed reports and data management. This training facilitates the early identification of faults, leading to reduced maintenance costs and improved operational safety. The aim is to train wind turbine inspectors and maintenance technicians with skills in the use of drones, promoting efficiency and precision in the wind energy industry.
Wind turbine inspection course using UAVs
- Format: Hybrid
- Duration: 3 months
- Hours: 300 H
- Language: English / Spanish
- Registration date: 23-10-2026
- Start date: 12-12-2026
- Available places: 3
499 $
Competencies and results
What you will learn
1. Mastering Wind Turbine Inspection with Drones: Advanced Techniques and Strategies
- Identification and analysis of anomalies in wind turbine blades using drone inspection.
- Application of optimized flight and data capture techniques for turbine inspection.
- Interpretation of high-resolution images and videos to detect structural defects.
- Use of specialized software for data analysis and report generation.
- Mastery of visual inspection, thermography, and distance measurement techniques using drones.
- Evaluation of the structural integrity of wind turbines, including the analysis of cracks, erosion, and other damage.
- Understanding of the operating principles of wind turbines and their key components.
- Application of safety strategies and best practices for drone operation in wind environments.
- Development of skills for the efficient planning and execution of drone inspections.
- Compliance with the relevant regulations and standards for the operation of drones in the wind energy industry.
Effective.
2. Expert Evaluation of Wind Turbine Rotors: Modeling, Performance and In-Depth Analysis with Drones
- Master advanced wind turbine rotor modeling, including the simulation of complex phenomena such as flap-lag-torsion coupling, whirl flutter instability, and structural fatigue analysis for optimized service life.
- Gain in-depth knowledge of the design and dimensioning of composite structures, specializing in material selection, laminate optimization, joint design, and the application of finite element (FE) methods for bonded joint analysis in rotors.
- Apply damage tolerance methodologies to assess structural integrity and employ non-destructive testing (NDT) techniques such as ultrasonic testing (UT), radiography (RT), and thermography for early defect detection and predictive life management of wind turbine rotors.
3. Comprehensive user-oriented design and validation (from modeling to manufacturing)
You will learn to integrate the entire product development process, from initial model conception to final validation, applying user-centered methodologies. You will develop skills in parametric design, ergonomics, simulation, sustainable materials, 3D visualization, and manufacturing management, ensuring efficient, safe solutions that meet current industry standards.
4. Rotor Performance Analysis: Modeling and Evaluation with Drones
4. Rotor Performance Analysis: Modeling and Evaluation with Drones
- Analyze flap-lag-torsion, whirl flutter, and fatigue couplings.
- Dimension laminates in composites, joints, and bonded joints with FE.
- Implement damage tolerance and NDT (UT/RT/thermography).
5. Wind Turbine Rotor Modeling and Performance Evaluation using Drone Inspection
- You will understand the fundamentals of wind turbine rotor modeling, including the equations that govern their behavior.
- You will learn to simulate the performance of wind turbine rotors, considering variables such as wind speed, air density, and blade geometry.
- You will master the use of drones for the visual inspection of wind turbine rotors, identifying damage and wear.
- You will develop skills in analyzing data obtained by drones, including the interpretation of images and videos.
- You will become familiar with 3D wind turbine rotor modeling techniques, using specialized software.
- You will analyze the different types of failures that can affect wind turbine rotors, such as erosion, corrosion, and cracking.
- You will learn to use software tools for the design and optimization of wind turbine rotors.
- You will acquire Knowledge of wind energy industry regulations and standards.
You will explore current trends in wind turbine rotor inspection using drones, including the use of artificial intelligence and machine learning.
You will be able to assess the impact of different environmental conditions on wind turbine rotor performance.
6. Advanced Modeling of Wind Turbine Rotors: Performance Analysis and Optimization with Drones
6. Advanced Wind Turbine Rotor Modeling: Performance Analysis and Optimization with Drones
Mastery of wind turbine simulation through advanced 3D modeling.
Evaluation of rotor aerodynamics, including airfoil analysis and load distribution analysis.
Implementation of rotor performance analysis techniques, such as Blade Element Theory (BEM) and Computational Fluid Dynamics (CFD).
Utilization of drones for field data acquisition, such as wind speed measurements, temperature, and vibration analysis.
Detailed analysis of blade failure modes, including fatigue fractures, leading-edge erosion, and delamination.
Optimization of rotor design to maximize energy efficiency and reduce operating and maintenance costs.
Analysis of flap-lag-torsion, whirl flutter, and fatigue couplings.
Sizing of laminates in composites, joints, and bonded joints with FE.
Implementation of damage tolerance and NDT (UT/RT/thermography).
Learning real-time control and monitoring techniques to optimize wind turbine operation.
Application of artificial intelligence and machine learning algorithms for failure prediction and performance optimization.
Generation of technical reports and clear and concise presentation of results.
Who this program is for:
Wind turbine inspection course using UAVs
- Engineers with degrees in disciplines such as Aerospace Engineering, Mechanical Engineering, Industrial Engineering, Automation, or related fields.
- Experts and professionals working in OEM rotorcraft/eVTOL companies, MRO (Maintenance, Repair, and Operations) companies, specialized consulting firms, and technology centers.
- Industry professionals with experience in areas such as Flight Testing, certification, avionics, flight control, and systems dynamics, who wish to deepen their knowledge and specialize in wind turbine inspection using UAVs.
- Personnel from regulatory bodies and aeronautical authorities, as well as professionals involved in the development and operation of UAM/eVTOL, who need to acquire knowledge in regulatory compliance specific to this type of inspection.
Recommended Requirements: Basic knowledge of aerodynamics, control, and structures is recommended. A ES/EN B2+/C1 level of proficiency is required. bridging tracks are offered for those who need to reinforce their knowledge.
- Standards-driven curriculum: you will work with CS-27/CS-29, DO-160, DO-178C/DO-254, ARP4754A/ARP4761, ADS-33E-PRF from the first module.
- Accreditable laboratories (EN ISO/IEC 17025) with rotor bench, EMC/Lightning pre-compliance, HIL/SIL, vibrations/acoustics.
- Evidence-oriented TFM: safety case, test plan, compliance dossierand operational limits.
- Mentored by industry: teachers with experience in rotorcraft, tiltrotor, eVTOL/UAM and flight test.
- Flexible modality (hybrid/online), international cohorts and support from SEIUM Career Services.
- Ethics and security: safety-by-design approach, cyber-OT, DIH and compliance as pillars.
1.1 Fundamentals of Drone Inspection of Wind Turbines
1.2 Wind Turbine Components and Their Critical Points
1.3 Types of Drones and Sensors for Wind Turbine Inspection
1.4 Flight Planning and Efficient Inspection Routes
1.5 Data Capture Techniques: Images, Videos, and Thermal Data
1.6 Drone Data Processing and Analysis Software
1.7 Identifying Defects and Damage in Blades, Nacelles, and Towers
1.8 Regulations and Standards for Drone Flights in the Wind Energy Sector
1.9 Safety in Drone Operations on Wind Turbines
1.10 Case Studies: Successful Inspections and Lessons Learned
2.2 Introduction to Wind Turbine Rotor Modeling: Fundamentals and Model Types
2.2 Drone Inspection: Platforms, Sensors, and Operational Considerations
2.3 Drone Data Capture: Flight Planning and Image Acquisition
2.4 Image Processing and 3D Reconstruction: Software and Advanced Techniques
2.5 3D Model Analysis: Blade Damage Measurement and Assessment
2.6 Performance Evaluation: Aerodynamic Analysis and Efficiency Calculations
2.7 Airflow Simulation and Modeling: Computational Fluid Dynamics (CFD)
2.8 Data Analysis and Report Generation: Interpretation of Results and Conclusions
2.9 Case Studies: Practical Examples and Real-World Applications
2.20 Best Practices and Optimization: Strategies for Efficient Modeling and Analysis Drones
3.3 Introduction to Wind Turbine Rotor Modeling with Drones: Fundamentals and Applications
3.2 Principles of UAV Inspection of Wind Turbines: Sensors and Equipment
3.3 Data Capture and Processing: Flight Techniques and Specialized Software
3.4 3D Modeling of Wind Turbine Rotors: Creating Accurate Models
3.5 Performance Analysis: Efficiency Evaluation and Fault Detection
3.6 Advanced Analysis Techniques: Thermography and Defect Detection
3.7 Performance Optimization: Data-Driven Strategies
3.8 Case Studies: Practical Applications and Results
3.9 Regulations and Safety: Compliance and Best Practices
3.30 Future Trends: Innovation in Drone Modeling and Analysis
4.4 Fundamentals of Drone Inspection: Principles and Initial Techniques
4.2 Flight Planning and Data Acquisition: Strategies for Success
4.3 Sensors and Equipment: Selection and Calibration for Evaluation
4.4 Data and Image Processing: Key Analysis Techniques
4.5 3D Modeling and Performance Analysis: Data Integration
4.6 Defect and Damage Assessment: Identification and Classification
4.7 Airflow and Aerodynamic Analysis: Advanced Interpretation
4.8 Reporting and Documentation: Creating Detailed Reports
4.9 Performance Improvement and Optimization: Mitigation Strategies
4.40 Case Studies: Practical Applications and Real-World Examples
5.5 Aeronautical legislation applicable to drones
5.5 Operational safety and risk management in drone flights
5.3 Key components of a drone and their operation
5.4 Types of drones and their applications in inspection
5.5 Flight principles and basic maneuvers
5.6 Flight planning and mission design
5.7 Sensors and cameras for wind turbine inspection
5.8 Drone control and management software
5.9 First aid and workplace safety
5.50 Safe flight practices and regulatory compliance
5.5 Fundamentals of 3D modeling with photogrammetry
5.5 3D modeling software and data processing
5.3 Drone data capture techniques for rotors
5.4 Generation of 3D models of wind turbine rotors
5.5 3D data analysis: deformations, damage, and wear
5.6 Interpretation of results and development of Reports
5.7 Integrating 3D Data with Analysis Software
5.8 Creating Digital Twin Models
5.9 Validating and Calibrating 3D Models
5.50 Advanced Applications of 3D Modeling in Rotor Evaluation
3.5 Principles of Aerodynamics and Wind Turbine Rotor Operation
3.5 Key Rotor Performance Parameters
3.3 Performance Evaluation Techniques: Power, Efficiency
3.4 Flight Data and Performance Analysis
3.5 Identifying Rotor Anomalies and Failures
3.6 Assessing the Impact of Damage on Performance
3.7 Using Performance Analysis Software
3.8 Optimizing Rotor Performance
3.9 Preparing Evaluation Reports
3.50 Performance Evaluation Case Studies
4.5 Advanced Flight Techniques for Inspection
4.5 Using Specialized Cameras: Thermal, Multispectral
4.3 Blade Inspection Cracks, erosion, contaminants
4.4 Inspection of hubs and nacelles
4.5 Image and video analysis techniques
4.6 Defect detection and classification
4.7 Use of artificial intelligence in inspection
4.8 Predictive maintenance and trend analysis
4.9 Repair techniques and improvement proposals
4.50 Practical examples of advanced inspection
5.5 Fundamentals of modeling and simulation
5.5 Flight data analysis methods
5.3 Integration of inspection and performance data
5.4 Modeling aerodynamic behavior
5.5 Performance simulation under different conditions
5.6 Component life prediction
5.7 Sensitivity analysis and scenarios
5.8 Use of simulation software
5.9 Validation of models and results
5.50 Optimization of rotor design and operation
6.5 Wind turbine rotor optimization techniques
6.5 Energy efficiency analysis
6.3 Modeling and Simulation for Optimization
6.4 Evaluation of Optimization Strategies
6.5 Risk-Benefit Analysis of Improvements
6.6 Impact of Environmental Conditions on Performance
6.7 Design of Optimized Maintenance Strategies
6.8 Optimization Scheduling Optimization
6.9 Cost-Benefit Analysis of Optimizations
6.50 Optimization Case Studies
7.5 Advanced Inspection Techniques: LiDAR, Ultrasound
7.5 Advanced Data Analysis Methods
7.3 Impact Assessment of Defects
7.4 Failure and Service Life Prediction
7.5 Risk Analysis and Recommendations
7.6 Specialized Software for Rotor Evaluation
7.7 Repair and Improvement Techniques
7.8 Multi-Source Data Analysis
7.9 Advanced Evaluation Case Studies
7.50 Integration with Asset Management Systems
8.5 Detailed Analysis of Inspection Data
8.5 Data Integration Performance and Maintenance
8.3 Impact Assessment of Damage and Defects
8.4 Predictive Modeling of Rotor Behavior
8.5 Risk Analysis and Mitigation
8.6 Operation and Maintenance Optimization
8.7 In-depth Analysis Case Studies
8.8 Technical Report Preparation
8.9 Data-Driven Decision Making
8.50 Integration with Monitoring Systems
6.6 Aeronautical legislation and regulations applicable to drones.
6.2 Types of drones and their applications in wind turbine inspection.
6.3 Principles of aerodynamics and air navigation for drones.
6.4 Flight safety and risk prevention.
6.5 Introduction to autonomous and remotely controlled flight platforms.
6.6 Operations in wind environments: mission planning and execution.
6.7 Fundamentals of photogrammetry and image processing.
6.8 First steps in wind turbine inspection with drones.
6.9 Regulations on data protection and privacy in data collection with drones.
6.60 Professional ethics and best practices in drone operation.
2.6 Principles of 3D modeling: photogrammetry and digital model creation.
2.2 3D modeling software: use of specialized tools for wind turbine rotors. 2.3 Data Capture Techniques: Inspection Flights and Image Acquisition
2.4 3D Model Analysis: Identification of Faults, Deformations, and Damage
2.5 Data Interpretation: Analysis of Rotor Geometry and Condition
2.6 Data Integration: Combining 3D Models with Other Inspection Data
2.7 Performance Modeling: Simulation of Rotor Aerodynamic Behavior
2.8 Results Analysis: Interpretation of Modeling Data for Rotor Evaluation
2.9 Advanced Tools: Use of Specialized Software for Rotor Analysis
2.60 Technical Reporting: Creation of Rotor Inspection and Analysis Reports
3.6 Key Rotor Performance Concepts: Efficiency, Power, and Energy
3.2 Sensors and Data Acquisition Systems for Performance Evaluation
3.3 Evaluation Methodology: Design and Execution of Field Tests 3.4 Performance Data Analysis: Interpretation and Validation of Results
3.5 Efficiency Assessment: Analysis of Energy Production
3.6 Power Analysis: Evaluation of Energy Generation Capacity
3.7 Fault Analysis: Detection of Anomalies and Their Impact on Performance
3.8 Comparison of Results: Rotor Benchmarking and Evaluation of Improvements
3.9 Performance Reporting: Creation and Presentation of Technical Reports
3.60 Safety Considerations: Risk Prevention and Regulatory Compliance
4.6 Advanced Visual Inspection: High-Resolution Image Capture Techniques
4.2 Thermographic Inspection: Detection of Hot Spots and Thermal Anomalies
4.3 LiDAR Inspection: High-Precision 3D Mapping for Rotor Evaluation
4.4 Acoustic Inspection: Detection of Abnormal Noise and Vibration 4.5 Ultraviolet Inspection: Detection of surface damage.
4.6 Flight Techniques: Optimization of trajectories and maneuvers.
4.7 Processing Software: Use of specialized tools for data analysis.
4.8 Sensor Calibration: Ensuring data quality.
4.9 Inspection Reports: Creation of detailed reports and recommendations.
4.60 Safety and Regulation: Compliance with safety regulations and protocols.
5.6 Rotor Modeling: Techniques and tools for creating accurate models.
5.2 Performance Evaluation: Data analysis to determine efficiency and power.
5.3 Simulation Software: Use of specialized tools for performance analysis.
5.4 Data Integration: Combining inspection and modeling data.
5.5 Failure Analysis: Identification and evaluation of defects.
5.6 Case Studies: Analysis of real-world examples and learning best practices. 5.7 Performance Optimization: Strategies for improving rotor efficiency.
5.8 Technical Reports: Creating performance analysis reports.
5.9 Standards and Regulations: Compliance with applicable legislation.
5.60 Safety Aspects: Protocols and safety measures for inspection and analysis.
6.6 Rotor Design Optimization: Advanced strategies and techniques.
6.2 Simulation Software: Advanced tools for performance analysis.
6.3 CFD Analysis: Use of specialized software for flow modeling and analysis.
6.4 Structural Analysis: Evaluation of rotor integrity.
6.5 Improvement Design: Designing solutions to improve performance and efficiency.
6.6 Failure Analysis: Identifying and resolving rotor problems.
6.7 Case Studies: Analyzing real-world cases and applying best practices.
6.8 Technical Reports: Creating detailed reports and recommendations. 6.9 Economic Aspects: Cost-benefit analysis of improvements.
6.60 Planning: Development of improvement and optimization plans.
7.6 Advanced Inspection Techniques: Use of specialized sensors.
7.2 Performance Evaluation: Data analysis to determine efficiency.
7.3 Processing Software: Specialized tools for data analysis.
7.4 Failure Analysis: Identification and evaluation of defects.
7.5 Case Studies: Analysis of real-world examples and learning best practices.
7.6 Technical Reports: Creation of detailed reports.
7.7 Standards and Regulations: Compliance with legislation.
7.8 Safety: Safety protocols and measures.
7.9 Project Management: Planning and execution of inspection projects.
7.60 Trends: Latest technologies in inspection and evaluation.
8.6 Rotor Inspection with UAVs: Data capture and processing techniques. 8.2 Data Analysis: Interpretation of results and anomaly detection.
8.3 3D Modeling: Creation of accurate models for analysis.
8.4 Performance Evaluation: Analysis of efficiency and power.
8.5 Failure Analysis: Identification and evaluation of defects.
8.6 Case Studies: Analysis of real-world examples.
8.7 Technical Reports: Creation of detailed reports.
8.8 Standards and Regulations: Compliance with applicable legislation.
8.9 Safety: Safety protocols and measures.
8.60 Future Trends: Advancements in inspection and analysis technology.
- Hands-on methodology: test-before-you-trust, design reviews, failure analysis, compliance evidence.
- Software (depending on licenses/partners): MATLAB/Simulink, Python (NumPy/SciPy), OpenVSP, SU2/OpenFOAM, Nastran/Abaqus, AMESim/Modelica, acoustics tools, planning toolchains DO-178C.
- SEIUM Laboratories: scale rotor bench, vibrations/acoustics, EMC/Lightning pre-compliance, HIL/SIL for AFCS, data acquisition with strain gauging.
- Standards and compliance: EN 9100, 17025, ISO 27001, GDPR.
Capstone-type projects
Admissions, fees, and scholarships
- Profile: Background in Computer Engineering, Mathematics, Statistics, or related fields; practical experience in NLP and valued information retrieval systems.
- Documentation: Updated CV, academic transcript, SOP/statement of purpose, project examples or code (optional).
- Process: Application → Technical evaluation of profile and experience → Technical interview → Review of case studies → Final decision → Enrollment.
- Fees:
- Single payment: 10% discount.
- Payment in 3 installments: No fees; 30% upon registration + 2 equal monthly payments of the remaining 35%.
Monthly payment: available with a 7% commission on the total; annual review.
Scholarships: based on academic merit, financial need, and promoting inclusion; agreements with companies in the sector for partial or full scholarships.
See “Calendar & Calls for Applications,” “Scholarships & Grants,” and “Fees & Financing” in the SEIUM mega-menu.
Do you have any questions?
Our team is ready to help you. Contact us, and we will respond as soon as possible.
F. A. Q
Frequently asked questions
Yes, we have international certification
Yes: experimental models, real data, applied simulations, professional environments, real case studies.
It is not mandatory. We offer leveling tracks and tutoring.
Completely. It covers e-propulsion, integration, and emerging regulations (SC-VTOL).
Recommended. There are also internal challenges and consortiums.
Yes. Online/hybrid modality with planned labs and visa support (see “Visa & Residence”).