Real-time motor monitoring course
Online course of 300 hours in real-time engine monitoring: 6 modules covering engine instrumentation, on-board data acquisition, real-time processing, ground platforms and transmission, anomaly detection and response, and an engine monitoring project, with an assigned technical tutor.
Real-time motor monitoring course — studying from Singapore
Fees for Singapore: 655 S$ (Singapore dollar), with instalments and employer sponsorship available.
Questions from Singapore
Are SEIUM qualifications official degrees in Singapore?
No. SEIUM qualifications are private qualifications awarded by SEIUM Institute and are not official state degrees. Learners should check with the relevant professional bodies in Singapore about how any qualification is treated for their specific purpose.
What language are the programmes taught in?
All programmes are taught in English.
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 instrumentation and data sources of an aircraft engine.
Configure on-board acquisition and reporting systems.
Implement real-time processing and signal validation.
Design ground platforms for fleet monitoring.
Apply anomaly detection techniques with a low false alarm rate.
Define response procedures for engine events.
Develop a complete engine monitoring system.
Who it's for
- Engine monitoring engineers.
- Real-time data engineers moving into aviation.
- Engine health analysts.
- Avionics engineers working with engine data and ACMS.
- Diagnostic centre engineers at OEMs or airlines.
- Embedded software engineers.
- Engineering or science graduates looking to join airlines.
What you'll work with
- SAE ARP5120 (highly reliable turbine engine health management systems)
- SAE ARP1587B (aircraft gas turbine engine health management system guide)
- ARINC 717 (flight data acquisition and recording)
- ARINC 767 (enhanced airborne flight recorder data format)
- EUROCAE ED-112A (minimum operational performance specification for crash-protected recorders)
- RTCA DO-178C / EUROCAE ED-12C (software considerations in airborne systems)
- ISO 13374-1:2003 (data processing, communication and presentation for condition monitoring)
- ARINC 429 (digital information transfer system)
- Apache Kafka
- InfluxDB
- Grafana
- MATLAB/Simulink
- Python with scikit-learn
6 modules
1.1Temperature sensors: thermocouples and RTDs1.2Static and total pressure sensors1.3Shaft speed measurement1.4Fuel flowmeters1.5Oil debris detectors1.6On-board vibration sensors1.7Sensor location according to station numbering1.8Sensor reliability and redundancy1.9EICAS and ECAM cockpit indication1.10Case study: exhaust gas temperature measurement chain
2.1The FADEC electronic control as a data source2.2Flight data acquisition units2.3ARINC 717 format and recorders2.4ACMS systems and report generation2.5Sampling rates by parameter2.6Multi-source data synchronisation2.7In-flight compression and storage2.8Transmission via ACARS and wireless networks2.9Interfaces with the aircraft network2.10Workshop: configuring a take-off report in ACMS
3.1Edge processing architectures3.2Digital filtering and spike detection3.3Signal and sensor validation3.4Limit exceedance detection3.5On-board engine models3.6Kalman filters for state estimation3.7Latency and determinism requirements3.8Airborne software according to DO-178C3.9Real-time alert management3.10Lab: exceedance detector on simulated data
4.1Streaming data ingestion4.2Architectures with Kafka and time-series databases4.3Real-time monitoring dashboards4.4Manufacturer diagnostic centres4.5Alerts to the operations control centre4.6Scalability for large fleets4.7Data security and encryption4.8Redundancy of the monitoring platform4.9Integration with maintenance systems4.10Practical exercise: monitoring dashboard with Grafana
5.1Fixed versus adaptive thresholds5.2Statistical anomaly models5.3Unsupervised machine learning5.4Reducing false alarms across the fleet5.5Prioritising events by severity5.6In-flight response procedures5.7Coordination with line maintenance5.8Post-event investigation5.9Continuous improvement of rules5.10Case study: oil pressure alert in cruise
6.1Operator monitoring requirements6.2Selection of parameters and rates6.3Proposed on-board architecture6.4Transmission channel and costs6.5Ground platform and dashboards6.6Implemented detection algorithms6.7Testing with simulated or real data6.8Evaluation of latency and false alarms6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
A 100% online programme 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 you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Apache Kafka, InfluxDB, Grafana, MATLAB/Simulink and Python with scikit-learn, in free, academic or evaluation versions. Testing is studied through real procedures for configuring on-board engine reports, real-time monitoring with fleet dashboards and automatic anomaly detection in parameters. Assessment is continuous by module, plus the final project.
Standards covered: SAE ARP5120, SAE ARP1587B, ARINC 717, ARINC 767, EUROCAE ED-112A, RTCA DO-178C / EUROCAE ED-12C, ISO 13374-1:2003, ARINC 429
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.
- 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 Apache Kafka, InfluxDB, Grafana, MATLAB/Simulink, Python with scikit-learn, 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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