Postgraduate Diploma in O&M, CMS and Diagnostics for Wind Turbines
Online 800-hour Postgraduate Diploma in O&M, CMS and Diagnostics for Wind Turbines. 8 modules covering IEC 61400-1 (wind turbine design requirements), ISO 10816-21 (vibration in horizontal-axis wind turbines) and SKF @ptitude Analyst. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Identify the typical failure modes of wind turbine subsystems.
Compare corrective, preventive and predictive maintenance strategies.
Configure a CMS system for the drivetrain.
Interpret vibration spectra to diagnose bearings and gears.
Apply SCADA data analytics to the early detection of faults.
Plan inspections and repairs of blades and major components.
Develop an O&M plan focused on availability and lifecycle cost.
Who it's for
- Wind O&M engineer who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- Vibration analyst who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- Condition monitoring specialist who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- Wind turbine reliability engineer who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- SCADA data analyst who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- Wind farm manager who wants to specialise in O&M, CMS and Diagnostics for Wind Turbines.
- Engineering or science graduates seeking to enter the onshore wind energy sector.
What you'll work with
- IEC 61400-1 (wind turbine design requirements)
- ISO 10816-21 (vibration in horizontal-axis wind turbines)
- ISO 17359 (condition monitoring: general guidelines)
- ISO 13373-1 (machine vibration monitoring)
- IEC 61400-25 (communications for monitoring and control of wind power plants)
- IEC 61400-26 (wind turbine availability)
- VDI 3834 (measurement and evaluation of vibrations in wind turbines)
8 modules · 800 h
1.1Subsystems: rotor, drivetrain and nacelle1.2Gearbox versus direct drive1.3DFIG and permanent magnet synchronous generators1.4Pitch and yaw systems1.5Failure statistics by component1.6Downtime and cost per failure1.7Failure modes of bearings and gears1.8Blade and converter failures1.9Reliability databases1.10Workshop: Pareto analysis of wind farm failures
2.1Corrective, preventive and predictive maintenance2.2Manufacturer maintenance plans2.3Full-service contracts and their scope2.4In-house versus outsourced maintenance2.5Logistics for major corrective works and cranes2.6Management of critical spare parts2.7Work-at-height safety and rescue2.8GWO training for technical staff2.9Technical and energy availability indicators2.10Practice: comparison of O&M contract models
3.1CMS system architecture3.2Accelerometers and their location3.3ISO 10816-21 vibration standard for wind turbines3.4CMS certification guidelines3.5Online oil analysis3.6Metal particle counters3.7Blade monitoring3.8Structural monitoring of tower and foundation3.9CMS integration with SCADA3.10Case study: specification of a CMS for a 30-turbine wind farm
4.1Time and frequency domain signals4.2FFT and order spectra4.3Bearing defect frequencies4.4Gear mesh frequencies and sidebands4.5Envelope analysis4.6Variable speed and angular resampling4.7Cepstrum and periodicity detection4.8Severity and alarm levels4.9Diagnosis of misalignment and unbalance4.10Laboratory: diagnosis of a damaged bearing with Python
5.110-minute SCADA variables5.2Power curve and deviations5.3IEC 61400-26 availability standard5.4Normal behaviour models5.5Thermal anomaly detection5.6Yaw and pitch errors5.7Machine learning on SCADA data5.8Alarm and event management5.9Performance dashboards5.10Laboratory: normal behaviour model of the gearbox
6.1Blade inspection with drones6.2Leading edge erosion6.3On-site blade repair6.4Gearbox endoscopy6.5Thermography of electrical components6.6Inspection of bolted joints6.7Tower and flange inspection6.8Repairs at height versus at ground level6.9Inspection documentation6.10Practice: damage classification from blade images
7.1O&M cost optimisation7.2Risk-based planning7.3Life extension7.4Remaining life assessment7.5Partial and full repowering7.6Decommissioning and blade recycling7.7Insurance and warranties7.8Technical due diligence in operation7.9Continuous performance improvement7.10Case study: life extension versus repowering decision
8.1Wind farm characterisation and history8.2Reliability analysis8.3Monitoring system design8.4Diagnosis using vibration data8.5SCADA performance analytics8.6Optimised maintenance plan8.7Economic evaluation8.8Implementation plan8.9Report and presentation8.10Final review with the tutor
How you'll learn
100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is SKF @ptitude Analyst, Python (pandas, scikit-learn), MATLAB (Signal Processing Toolbox), Power BI, in free, academic or evaluation versions. Practical work covers real spectral and envelope analysis procedures for gearboxes, blade inspection with drones and endoscopy, and anomaly detection on 10-minute SCADA data. Assessment is continuous, module by module, plus a final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Identify the typical failure modes of wind turbine subsystems.
Compare corrective, preventive and predictive maintenance strategies.
Configure a CMS system for the drivetrain.
Interpret vibration spectra to diagnose bearings and gears.
Apply SCADA data analytics to the early detection of faults.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. A university degree is not required.
- Internet connection and a computer capable of running the programme's software.
- A sufficient level of Spanish to follow technical standards reading.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with full-time work.
The programme uses SKF @ptitude Analyst, Python (pandas, scikit-learn), MATLAB (Signal Processing Toolbox) and Power BI. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute diploma upon passing continuous assessment and the integrative project. This is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy at enrolment.
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