Predictive Maintenance in Heavy Machinery Course
Online 300-hour course in predictive maintenance for heavy machinery. 6 modules covering ISO 17359 (condition monitoring and diagnostics), ISO 20816-1 (measurement and evaluation of vibration) 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
Compare corrective, preventive and predictive maintenance strategies.
Interpret oil and fluid analysis reports.
Apply vibration, thermography and ultrasound techniques.
Use equipment telemetry to detect deviations.
Integrate predictive maintenance into the maintenance management system.
Calculate the economic return of a predictive programme.
Design a predictive maintenance plan for a heavy fleet.
Who it's for
- Predictive maintenance engineer who wants to specialise in predictive maintenance in heavy machinery.
- Vibration analysis technician who wants to specialise in predictive maintenance in heavy machinery.
- Lubricant analyst who wants to specialise in predictive maintenance in heavy machinery.
- Industrial thermographer who wants to specialise in predictive maintenance in heavy machinery.
- Fleet maintenance manager who wants to specialise in predictive maintenance in heavy machinery.
- Reliability engineer who wants to specialise in predictive maintenance in heavy machinery.
- Engineering or science graduates looking to enter the mining sector.
What you'll work with
- ISO 17359 (condition monitoring and diagnostics)
- ISO 20816-1 (measurement and evaluation of vibration)
- ISO 18434-1 (thermography in condition monitoring)
- ISO 29821 (ultrasound in condition monitoring)
- ASTM D5185 (analysis of metals in oil by ICP)
- ISO 18436-2 (personnel certification in vibration analysis)
- EN 13306 (maintenance terminology)
- ISO 55001 (asset management)
6 modules · 300 h
1.1Corrective, preventive, predictive and reliability-based1.2Criticality of equipment and components1.3Failure modes and their analysis1.4The failure curve and its real interpretation1.5Choosing a strategy per component1.6Cost of the strategy and cost of failure1.7Target availability and its realism1.8Organising maintenance across a fleet1.9The operator's role in maintenance1.10Workshop: criticality analysis of a fleet
2.1What oil reveals about the machine2.2Sampling: location, timing and procedure2.3Physico-chemical parameters and their reading2.4Wear particles and their origin2.5Contamination by water, dust and fuel2.6Particle counting in hydraulics2.7Trends and alarm values2.8Laboratory: choosing and interpreting reports2.9Actions arising from the analysis2.10Practice: interpreting three oil reports
3.1Vibration analysis: measurement points and routes3.2Signatures of misalignment, imbalance and bearings3.3Measurement on mobile machines: difficulties3.4Thermography: equipment and good practice3.5Hot spots and their diagnosis3.6Ultrasound for leaks and for bearings3.7Measurement of pressures and flow rates3.8Structured sensory inspection3.9Combining techniques3.10Practice: predictive inspection route
4.1Machine bus data and fault codes4.2Hours, loads and severity of use4.3Derived indicators and their tracking4.4Integrating telemetry into the plan4.5Thresholds and automatic alerts4.6Workshop verification of alerts4.7False alarms and threshold tuning4.8Equipment history and traceability4.9Limitations of manufacturer data4.10Practice: monitoring plan using telemetry
5.1The maintenance management system and its real use5.2Work orders and scheduling5.3Spare parts and stock management5.4Planned shutdowns and coordination with production5.5Outsourcing specialist services5.6Training workshop staff5.7Technical documentation and access to information5.8Indicators: availability, mean time and cost5.9Auditing the maintenance process5.10Practice: designing the process for a fleet
6.1Predictive maintenance implementation plan6.2Selecting pilot equipment6.3Programme cost and expected return6.4Measuring avoided failure6.5Change management and team confidence6.6Relationship with the manufacturer and warranty6.7Common mistakes in predictive programmes6.8Continuous improvement and plan review6.9Maintenance maturity roadmap6.10Final project: predictive maintenance programme for a fleet
How you'll learn
Fully 100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetable: the student progresses at their own pace within the intake period, which makes it compatible with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is SKF @ptitude Analyst, FLIR Thermal Studio, IBM Maximo, Power BI, Python, in free, academic or evaluation versions. Tests are studied using real procedures for laboratory oil analysis, vibration and thermography routes, and tracking of telemetry trends. 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.
Compare corrective, preventive and predictive maintenance strategies.
Interpret oil and fluid analysis reports.
Apply vibration, thermography and ultrasound techniques.
Use equipment telemetry to detect deviations.
Integrate predictive maintenance into the maintenance management system.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient Spanish to follow the reading of technical regulations.
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.
You will work with SKF @ptitude Analyst, FLIR Thermal Studio, IBM Maximo, Power BI, Python. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM proprietary diploma upon passing the continuous assessment and the integrative 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 recognition policy when you enrol.
Related programmes
Advanced Telemetry in Competition Buggies Course
Online 300-hour course in advanced telemetry for competition buggies. 6 modules covering ISO 11898-1 (CAN bus), ASAM MDF 4 (measurement data format) and MoTeC i2 Pro.…
International Off-Road Transport Regulations Course
Online 300-hour course in international Off-Road transport regulations. 6 modules covering Regulation (EU) 2023/1230 (machinery products), Directive 2006/42/CE (machinery) and AENORmás (standards management). Assigned tutor and…
Course in Basic Hydraulic Systems for Machinery
Online 300-hour course in basic hydraulic systems for machinery. 6 modules covering ISO 1219-1 (graphic symbols for hydraulic transmissions), ISO 1219-2 (circuit diagrams) and FluidSIM. Assigned…
More in Off-Road, Special Vehicles & Machinery
All Off-Road, Special Vehicles & Machinery programmes → · How to apply · Fees & financing · Scholarships