CourseAerospace, UAM, Drones & Space Applications open

SHM structural monitoring course on aircraft

Online course of 300 hours in aircraft structural health monitoring (SHM): 6 modules covering SHM concepts, sensors, damage detection techniques, data processing and diagnosis, and integration into maintenance, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Understand the principles of structural health monitoring.

02

Select suitable sensors for each damage mode.

03

Apply damage detection and localisation techniques.

04

Process data using machine learning techniques.

05

Assess the reliability of structural diagnosis.

06

Integrate SHM into the maintenance programme.

07

Design a monitoring system for a structural zone.

Profile

Who it's for

  • Structural health monitoring engineers wanting a complete aerospace-focused methodology.
  • Non-destructive testing engineers moving from scheduled inspection to permanent monitoring.
  • Maintenance data scientists working with sensor and fleet data.
  • Aeronautical structures engineers who need to integrate sensing into their designs.
  • Sensors and instrumentation engineers applying their expertise to aircraft structures.
  • Reliability and maintenance engineers exploring condition-based maintenance.
  • Engineering or science graduates seeking to enter the aeronautical sector.
Standards & tools

What you'll work with

  • SAE ARP6461 (guidelines for implementation of SHM on fixed-wing aircraft)
  • ATA MSG-3 (maintenance programme development)
  • FAA AC 25.571-1D (damage tolerance and fatigue evaluation of structure)
  • Regulation (EU) No 1321/2014 (continuing airworthiness)
  • UNE-EN 4179 (qualification and approval of NDT personnel)
  • ISO 13374-1 (condition monitoring and diagnostics data processing)
  • ASTM E1316 (terminology for non-destructive examinations)
  • MATLAB
  • Python with scikit-learn
  • Abaqus
  • Micron Optics ENLIGHT
  • Siemens Simcenter Testlab
Syllabus

6 modules

  1. 1.1Definition and levels of SHM
  2. 1.2Structural diagnosis and prognosis
  3. 1.3Comparison with non-destructive inspection
  4. 1.4Detectable damage in aircraft structures
  5. 1.5Benefits for maintenance and availability
  6. 1.6Architecture of an SHM system
  7. 1.7Load and usage monitoring
  8. 1.8Technology readiness and deployments
  9. 1.9SHM certification challenges
  10. 1.10Case study: identifying candidate zones on an aircraft
  1. 2.1Strain gauges in monitored structures
  2. 2.2Fibre Bragg grating optical sensors
  3. 2.3Piezoelectric guided-wave sensors
  4. 2.4Acoustic emission for crack detection
  5. 2.5Comparative vacuum monitoring sensors
  6. 2.6Corrosion sensors
  7. 2.7Wireless sensor networks
  8. 2.8Sensor integration in composites
  9. 2.9Sensor durability and reliability
  10. 2.10Lab: calibration of a Bragg grating
  1. 3.1Lamb guided waves
  2. 3.2Electromechanical impedance methods
  3. 3.3Vibration-based monitoring
  4. 3.4Distributed strain analysis
  5. 3.5Impact localisation
  6. 3.6Delamination detection
  7. 3.7Crack detection in metallic structures
  8. 3.8Environmental effects and compensation
  9. 3.9Probability of detection in SHM
  10. 3.10Practical exercise: impact localisation with acoustic emission signals
  1. 4.1Signal acquisition and pre-processing
  2. 4.2Damage feature extraction
  3. 4.3Machine learning for detection
  4. 4.4Unsupervised anomaly detection
  5. 4.5Structural digital twin
  6. 4.6Remaining useful life prognosis
  7. 4.7Sensor data fusion
  8. 4.8Fleet data management
  9. 4.9Uncertainty and reliability of diagnosis
  10. 4.10Workshop: damage classification with machine learning
  1. 5.1Structural condition-based maintenance
  2. 5.2SHM in the MSG-3 process
  3. 5.3Replacement of scheduled inspections
  4. 5.4System validation and verification
  5. 5.5Personnel qualification
  6. 5.6Interfaces with maintenance systems
  7. 5.7Cost-benefit analysis of the SHM system
  8. 5.8Applications in helicopters and drones
  9. 5.9Experience in commercial fleets
  10. 5.10Case study: SHM in a hard-to-access zone
  1. 6.1Selection of the structural zone
  2. 6.2Damage modes to be detected
  3. 6.3Sensor selection
  4. 6.4Sensor network design
  5. 6.5Diagnostic algorithm
  6. 6.6Validation plan
  7. 6.7Integration into the maintenance programme
  8. 6.8Economic assessment of the system
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: you progress at your own pace within the intake, so it fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB, Python with scikit-learn, Abaqus, Micron Optics ENLIGHT and Siemens Simcenter Testlab, in free, academic or evaluation versions. Testing is studied through real procedures: design of a sensor network, damage detection with guided waves and cost-benefit assessment of an SHM system. Assessment is continuous by module plus the final integrative project.

Standards covered: SAE ARP6461, ATA MSG-3, FAA AC 25.571-1D, Regulation (EU) No 1321/2014, UNE-EN 4179, ISO 13374-1, ASTM E1316.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of SAE ARP6461, ATA MSG-3 and FAA AC 25.571-1D applied to real cases, not as a theoretical annex.
Industry software:MATLAB, Python with scikit-learn, Abaqus, Micron Optics ENLIGHT and Siemens Simcenter Testlab, in free, academic or evaluation versions.
Final project:a structural health monitoring system design for an aircraft structural zone, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Zone and damage modes
Select the structural zone and define the damage modes to be detected.
Sensor network design
Select the sensors and design their layout on the structure.
Diagnostic algorithm
Develop the damage detection and diagnosis algorithm from the sensor data.
Validation and integration
Plan the validation and integrate the system into the maintenance programme with its economic assessment.
Final project
A complete SHM system design for the selected zone, reviewed by your tutor.
Career opportunities

Where this takes you

Structural health monitoring engineerNon-destructive testing engineerMaintenance data scientistAeronautical structures engineerSensors and instrumentation engineerReliability and maintenance engineer
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • An internet connection and a computer able to run the programme's software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with MATLAB, Python with scikit-learn, Abaqus, Micron Optics ENLIGHT and Siemens Simcenter Testlab, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer able to run the programme's software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

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