Predictive Maintenance Course in Underground Works
Online course of 300 hours in predictive maintenance in underground works. 6 modules covering underground assets and maintenance, data capture, analytics and predictive models, application to tunnel elements, and organisation and implementation, with an assigned technical tutor.
Predictive Maintenance Course in Underground Works — studying from Australia
Australia's infrastructure pipeline is substantial, covering roads, rail, ports, water and urban development across major cities such as Sydney, Melbourne, Brisbane and Perth. Rail engineering is especially active, with projects including Sydney Metro and Melbourne Metro. Smart city initiatives draw on sensors, data platforms and digital twins to improve transport, utilities and public services. Employers include state transport authorities, engineering consultancies such as Aurecon and WSP, and major contractors. Engineers work on design, asset management, construction oversight and sustainability.
Fees for Australia: A$1,020 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Does a SEIUM qualification meet Australian civil engineering registration requirements?
No. Civil engineers in Australia typically need an Engineers Australia accredited degree to pursue Chartered status, and state and territory rail and infrastructure regulators set their own requirements. SEIUM's private qualifications are not accredited by these bodies, so employers or regulators decide how much weight they carry.
Which Australian employers hire in civil, rail and smart cities?
Australia has public infrastructure agencies, rail operators, engineering consultancies and councils working on urban and smart city projects. Employers usually prioritise accredited qualifications, licensing and project experience. Ask potential employers whether a private online qualification would be considered alongside your experience.
Is the course workable alongside work, and what does it cost?
The courses are 100% online and taught in English, so you can study from anywhere in Australia without a student visa. Specialist courses take 300 hours, diplomas 800 and master's 1,900, so plan your time accordingly. Fees are payable in instalments, employer sponsorship may be possible, and you will have an assigned technical tutor.
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
Understand the maintenance strategies applicable to underground assets.
Analyse asset criticality using FMECA.
Select sensors and data capture systems for tunnels.
Apply analytical and machine learning models to failure prediction.
Design predictive strategies for linings and installations.
Integrate predictive maintenance into the organisation and the CMMS.
Develop a predictive maintenance plan for an underground asset.
Who it's for
- Maintenance engineers
- Infrastructure asset managers
- Industrial data analysts
- Tunnel operations managers
- Reliability engineers
- Digital transformation consultants
- Engineering or science graduates looking to move into metro operations
What you'll work with
- ISO 55001 (asset management: management systems)
- UNE-EN 13306 (maintenance: maintenance terminology)
- UNE-EN 17007 (maintenance process and associated indicators)
- ISO 17359 (condition monitoring and diagnostics of machines: general guidelines)
- ISO 13374 (condition monitoring: data processing, communication and presentation)
- ISO 20816-1 (mechanical vibration: measurement and evaluation)
- IEC 60812 (failure modes and effects analysis (FMEA and FMECA))
- UNE-EN 15341 (maintenance key performance indicators)
- IBM Maximo
- SAP Plant Maintenance
- Python (scikit-learn)
- Grafana
- Azure IoT Hub
6 modules
1.1Asset inventory in tunnels and galleries1.2Strategies: corrective, preventive, predictive and prescriptive1.3Degradation curves and service life1.4Reliability-centred maintenance1.5Failure mode analysis (FMECA)1.6Criticality of civil assets and installations1.7Life-cycle costs1.8Asset management according to ISO 550001.9Key maintenance indicators1.10Case study: criticality analysis of a railway tunnel
2.1IoT sensors in underground structures2.2Distributed optical fibre for temperature and strain2.3Vibration in fans and pumps2.4Mobile laser scanning of the lining2.5Automated visual inspection with cameras2.6Operating data from the SCADA2.7Data quality, cleansing and synchronisation2.8Communication architectures in tunnels2.9Storage and cloud platforms2.10Laboratory: analysing the vibration spectra of a fan
3.1Anomaly detection in time series3.2Physical degradation models3.3Supervised machine learning3.4Remaining useful life estimation3.5Computer vision for crack detection3.6Survival and Weibull models3.7Model validation and explainability3.8Risk-based intervention thresholds3.9Digital twins of infrastructure3.10Practical exercise: crack detection model in Python
4.1Lining: cracks, damp and detachments4.2Ventilation: bearings and motors4.3Pumping: wear and cavitation4.4Lighting and luminaire failures4.5Electrical installations and thermography4.6Track and overhead line in railway tunnels4.7Joints and waterproofing4.8Drainage and clogging4.9Doors and safety equipment4.10Case study: predictive maintenance of metro pumping systems
5.1CMMS systems and work orders5.2Integration with BIM for operation5.3Planning interventions in night-time windows5.4Return on investment of predictive maintenance5.5Change management in maintenance teams5.6Performance-based maintenance contracts5.7Cybersecurity of monitoring systems5.8Implementation roadmap5.9International success stories5.10Workshop: maintenance dashboard
6.1Selection of the underground asset6.2Asset inventory and criticality6.3Definition of variables to monitor6.4Data capture architecture6.5Proposed analytical model6.6Integration with the CMMS6.7Cost-benefit analysis of the solution6.8Phased implementation plan6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
Delivered 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 course can be combined with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is IBM Maximo, SAP Plant Maintenance, Python (scikit-learn), Grafana and Azure IoT Hub, in free, academic or evaluation versions. Testing is studied through real procedures for monitoring electromechanical equipment in tunnels, analysing lining degradation and implementing CMMS on metro networks. Assessment is continuous by module, plus the final capstone project.
Standards covered: ISO 55001; UNE-EN 13306; UNE-EN 17007; ISO 17359; ISO 13374; ISO 20816-1; IEC 60812; UNE-EN 15341.
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
- No prior qualification 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 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 IBM Maximo, SAP Plant Maintenance, Python (scikit-learn), Grafana and Azure IoT Hub, 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 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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