Diploma in NATO Predictive Maintenance Standards
Online postgraduate diploma of 800 hours in NATO predictive maintenance standards: 8 modules covering maintenance strategies, ISO 17359, ISO 13374 and ISO 13381-1, vibration and oil analysis, RCM integration, prognostics and implementation, with an assigned technical tutor.
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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
Understand the fundamentals of predictive maintenance and its regulatory framework.
Apply vibration, thermography, oil analysis and ultrasound techniques.
Integrate condition monitoring into RCM programmes.
Use ISO standards for condition monitoring and prognostics.
Align maintenance programmes with NATO logistics doctrine.
Define alarm thresholds and maintenance decision criteria.
Assess the economic and operational return of predictive maintenance.
Who it's for
- Predictive maintenance engineers looking to work to NATO standards.
- Vibration analysts.
- Fleet maintenance managers.
- Reliability engineers.
- NATO logistics specialists.
- Lubricant analysis technicians.
- Engineering or science graduates seeking to enter the defence sector.
What you'll work with
- ISO 17359 (machine condition monitoring and diagnostics)
- ISO 13374 (processing and exchange of condition monitoring data)
- ISO 13381-1 (machine prognostics)
- ISO 20816 (measurement and evaluation of vibration)
- ISO 18436 (qualification of condition monitoring personnel)
- MIL-STD-3034A (reliability-centred maintenance process)
- SAE JA1011 (RCM criteria)
- AJP-4 (Allied joint logistics doctrine)
- MATLAB Predictive Maintenance Toolbox
- SKF @ptitude Analyst
- IBM Maximo
- Python (scikit-learn)
8 modules
1.1Corrective, preventive and predictive maintenance1.2The P-F curve1.3Condition-based maintenance1.4AJP-4 logistics doctrine1.5Maintenance in allied operations1.6Availability indicators1.7Maintenance costs1.8ISO 55000 asset management1.9Maintenance maturity1.10Case study: diagnosing a fleet's maintenance strategy
2.1ISO 17359: general approach2.2ISO 13374: data architecture2.3ISO 13381-1: prognostics2.4ISO 18436: personnel qualification2.5MIL-STD-3034A and RCM2.6SAE JA10112.7Data interoperability standards2.8Contractual requirements2.9Allied standardisation in maintenance2.10Workshop: applying ISO 17359 to a piece of equipment
3.1Vibration fundamentals3.2Sensors and mounting3.3FFT spectral analysis3.4Imbalance and misalignment3.5Bearings: defect frequencies3.6Gears3.7Envelope analysis and demodulation3.8Severity according to ISO 208163.9Measurement routes3.10Lab: vibration analysis of a gearbox
4.1Oil analysis: viscosity and contamination4.2Wear metal spectrometry4.3Ferrography4.4Infrared thermography4.5Ultrasound4.6Electric motor analysis4.7Exhaust gas analysis4.8Borescope inspection4.9Technique selection4.10Practical exercise: interpreting an oil analysis report
5.1The RCM process5.2Function and failure analysis5.3Selection of condition-based tasks5.4Inspection intervals5.5Alarm thresholds5.6Intervention decisions5.7Integration with the CMMS5.8Programme review5.9Lessons learned5.10Case study: RCM analysis with predictive tasks
6.1Fleet data acquisition6.2Data quality6.3Health indicators6.4Degradation models6.5Remaining useful life6.6Machine learning in prognostics6.7Uncertainty in prognostics6.8Data interoperability6.9Cybersecurity6.10Lab: estimating remaining useful life
7.1Cost-benefit analysis7.2Pilot programme7.3Personnel training and certification7.4Maintenance organisation7.5Maintenance on deployment7.6Performance-based support contracts7.7Success indicators7.8Change management7.9Programme audits7.10Workshop: implementation plan for a unit
8.1Fleet selection8.2Criticality analysis8.3Applicable standards8.4Selected techniques8.5Monitoring plan8.6Prognostic model8.7Economic analysis8.8Implementation plan8.9Report and presentation8.10Final project: final review with your tutor
How you'll learn
Training is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB Predictive Maintenance Toolbox, SKF @ptitude Analyst, IBM Maximo and Python (scikit-learn), in free, academic or evaluation versions. Practical work is based on real procedures: vibration analysis of a gearbox, an oil analysis programme for a fleet and the definition of alarm thresholds. Assessment is continuous by module, plus the final project.
Standards covered: ISO 17359, ISO 13374, ISO 13381-1, ISO 20816, ISO 18436, MIL-STD-3034A, SAE JA1011, AJP-4.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- Prior technical training or professional experience in the sector. No university degree is required.
- An internet connection and a computer capable of running the programme 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.
Frequently asked questions
The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with MATLAB Predictive Maintenance Toolbox, SKF @ptitude Analyst, IBM Maximo and Python (scikit-learn), using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, 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.
Prior technical training or professional experience in the sector (no university degree required), a computer able to run the 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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