SHM (Structural Health Monitoring) Course in Machinery
300-hour online course in SHM (Structural Health Monitoring) for machinery. 6 modules covering ISO 13374 (condition monitoring. Data processing and communication), ISO 17359 (condition monitoring. General guidelines) 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
Explain the principles of structural health monitoring applied to machinery.
Select sensors and acquisition systems for machinery structures.
Process signals and extract damage-sensitive indicators.
Apply statistical and machine learning techniques to diagnosis.
Validate the system using probability of detection and false alarm criteria.
Integrate structural diagnosis into maintenance decision-making.
Assess the economic viability of a monitoring system.
Who it's for
- Structural monitoring engineer wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Predictive maintenance engineer wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Industrial data scientist wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Instrumentation engineer wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Asset management manager wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Reliability engineer wishing to specialise in SHM (Structural Health Monitoring) for machinery.
- Graduates in engineering or science seeking to join heavy machinery manufacturers.
What you'll work with
- ISO 13374 (condition monitoring. Data processing and communication)
- ISO 17359 (condition monitoring. General guidelines)
- ISO 13381-1 (prognostics)
- SAE ARP6461 (structural health monitoring in aircraft, reference)
- ISO 18436-2 (qualification of vibration analysis personnel)
- ISO 20816-1 (measurement and evaluation of vibration)
- ISO 55001 (asset management)
6 modules · 300 h
1.1What structural monitoring is and what it contributes1.2Difference from periodic inspection1.3Critical structural components of a machine1.4Damage mechanisms: fatigue, overload and corrosion1.5Cases where monitoring is justified1.6Objectives: safety, availability and service life1.7System reliability requirements1.8Stakeholders: manufacturer, operator and laboratory1.9Limits and realistic expectations1.10Workshop: selecting components to monitor
2.1Strain gauging: gauges and their installation2.2Fibre-optic sensors2.3Accelerometers and tilt sensors2.4Acoustic emission and its use2.5Displacement and clearance sensors2.6Cabling, protection and durability in the field2.7Power supply and autonomous systems2.8Sampling frequency and storage2.9Sensor calibration and verification2.10Practice: designing the instrumentation of a frame
3.1Signal pre-processing and filtering3.2Cycle counting and rainflow methods3.3Fatigue damage accumulation3.4Condition indicators and their trend3.5Detection of changes in dynamic response3.6Operational modal analysis3.7Temperature and load compensation3.8Separating severe use from actual damage3.9Uncertainty of indicators3.10Practice: calculating accumulated damage from records
4.1Alert thresholds and their justification4.2Confirmation by non-destructive inspection4.3Deciding to limit use or withdraw the machine4.4Repair planning4.5Communication to the operator and client4.6Recording the structural history4.7Using data in life extension4.8Relationship with warranty and liability4.9False alarms and their cost4.10Practice: decision protocol for an alert
5.1Validation on the test bench and on the machine5.2Correlation with finite element models5.3Controlled load tests5.4Periodic verification of instrumentation5.5Sensor degradation and its detection5.6System documentation and traceability5.7Audit of the monitoring system5.8Applicable standards and good practice5.9Training of the staff involved5.10Practice: validation plan for a system
6.1System cost and its return6.2Pilot fleet and criteria for extension6.3Integration with telemetry and maintenance6.4Supplier dependency and exit plan6.5Use of data by the manufacturer and the client6.6Protection of technical information6.7Common errors in monitoring projects6.8Comparison with enhanced periodic inspection6.9Technology evolution6.10Final project: structural monitoring system for a machine
How you'll learn
Training is 100% online on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The software used is MATLAB, Python (scikit-learn), LabVIEW, nCode GlyphWorks, in free, academic or evaluation versions. Work is based on real test procedures with defects induced in structures, crack monitoring in frames, and validation of damage detection algorithms. Assessment is continuous per module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the principles of structural health monitoring applied to machinery.
Select sensors and acquisition systems for machinery structures.
Process signals and extract damage-sensitive indicators.
Apply statistical and machine learning techniques to diagnosis.
Validate the system using probability of detection and false alarm criteria.
Where this takes you
Requirements
- No prior qualification is required.
- Internet connection and a computer capable of running the programme's software.
- 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 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours a week on average, compatible with a full-time job.
Work is carried out with MATLAB, Python (scikit-learn), LabVIEW and nCode GlyphWorks. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM Institute own diploma upon passing continuous assessment and the integrative project. This 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 recognised towards the advanced programme. Check the recognition policy when you enrol.
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