SHM (Structural Health Monitoring) Course for Ship Hulls
Online 300-hour course in SHM (Structural Health Monitoring) for ship hulls. 6 modules covering Lloyd’s Register ShipRight Procedure for Hull Condition Monitoring Systems, DNV Rules for Ships, HMON class notation (Hull monitoring system) and MATLAB. Assigned tutor and open enrolment.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Understand the objectives and levels of SHM for hulls.
Select appropriate sensors for naval structures.
Process signals and extract damage indicators.
Estimate fatigue damage from in-service measurements.
Apply machine learning to damage detection.
Integrate SHM into a digital twin of the vessel.
Design a complete monitoring system for a hull.
Who it's for
- Structural monitoring engineer looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Asset integrity engineer looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Digital twin specialist looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Marine data engineer looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Naval structures engineer looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Technical superintendent looking to specialise in SHM (Structural Health Monitoring) for ship hulls.
- Graduates in engineering or science seeking to join shipping companies.
What you'll work with
- Lloyd’s Register ShipRight Procedure for Hull Condition Monitoring Systems
- DNV Rules for Ships, HMON class notation (Hull monitoring system)
- ABS Guide for Hull Condition Monitoring Systems
- ISO 13374-1 Condition monitoring and diagnostics of machines — Data processing
- ISO 19902 Fixed steel offshore structures
- IACS UR E26 Cyber resilience of ships
- ISO 16587 Mechanical vibration and shock — Performance parameters for condition monitoring of structures
6 modules · 300 h
1.1Objectives of SHM for naval structures1.2Diagnostic levels: detection, localisation and prognosis1.3Typical damage: cracks, corrosion and deformation1.4Integration with inspection plans1.5Class notations for hull monitoring1.6Architecture of a monitoring system1.7Life-cycle cost and benefits1.8Application cases on vessels and offshore1.9Condition-based maintenance1.10Practical case: specification of a hull monitoring system
2.1Long-gauge strain gauges2.2Fibre optic sensors with Bragg gratings2.3MEMS and piezoelectric accelerometers2.4Acoustic emission for crack detection2.5Ultrasonic guided waves (Lamb)2.6Corrosion and thickness sensors2.7Installation, protection and ATEX certification2.8Wireless sensor networks2.9Power supply and sensor reliability2.10Workshop: design of a fibre optic network
3.1Signal conditioning and data acquisition3.2Filtering and spectral analysis3.3Time- and frequency-domain features3.4Wavelet transform analysis3.5Rainflow cycle counting3.6Real-time fatigue damage estimation3.7Changes in modal parameters3.8Normalisation for operational and environmental conditions3.9Data compression and storage3.10Practice: rainflow on measured stresses
4.1Unsupervised anomaly detection4.2Supervised damage classification4.3Neural networks for time series4.4Principal component analysis4.5Global stress regression models4.6False alarm rate and reliability4.7Multi-sensor data fusion4.8Remaining life prognosis4.9Model explainability in safety decisions4.10Laboratory: anomaly detector with hull data
5.1Structural digital twin of the vessel5.2Model updating with measurements5.3Integration with navigation and weather data5.4Master's guidance and bridge alarms5.5Ship-to-shore data transmission5.6Cybersecurity in monitoring systems5.7Offshore asset integrity management5.8Return on investment of SHM5.9Classification requirements for approval5.10Practical case: digital twin of an FPSO
6.1Asset definition and failure modes6.2Sensor selection and locations6.3Acquisition and communications architecture6.4Processing and fatigue algorithms6.5Damage detection strategy6.6Integration with the digital twin6.7Condition-based maintenance plan6.8Cost-benefit analysis of the system6.9Report and presentation6.10Final 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 allows them to combine it with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, Python with scikit-learn, NI LabVIEW and DNV Sesam, in free, academic or evaluation versions. Tests are studied using real procedures for installing fibre optic sensor networks, real-time fatigue estimation with rainflow, and anomaly detection with machine learning. Assessment is continuous, module by module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand the objectives and levels of SHM for hulls.
Select appropriate sensors for naval structures.
Process signals and extract damage indicators.
Estimate fatigue damage from in-service measurements.
Apply machine learning to damage detection.
Where this takes you
Requirements
- No prior degree required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient 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 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with full-time work.
Work is carried out with MATLAB, Python with scikit-learn, NI LabVIEW and DNV Sesam. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.
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