Postgraduate DiplomaRobotics, Automation & Control Applications open

Diploma in Fault Diagnosis in Gearboxes/Drives

Online postgraduate diploma of 800 hours in fault diagnosis of gearboxes and drives. 8 modules covering ISO 13373-1, ISO 13379-1 and ISO 15243:2017, with MATLAB Signal Processing Toolbox, Python with SciPy and SKF @ptitude Analyst, with an assigned technical tutor.

Duration800 hours · 6–8 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Diploma in Fault Diagnosis in Gearboxes/Drives — studying from Ireland

Ireland's manufacturing and technology sectors create strong demand for robotics, automation and control engineering, particularly in pharmaceuticals, medical devices, food processing and electronics. Research centres and universities contribute work in autonomous systems, sensing and control theory, with links to industry through national research programmes. Engineers in this area design, integrate and commission robotic cells, programmable logic controllers and industrial automation systems. Safety requirements for machinery and robotic systems are overseen by national safety authorities and European machinery standards.

Fees for Ireland: €1,290 (Euro), with instalments and employer sponsorship available.

Relevant bodies in Ireland

  • Health and Safety Authority (HSA)
  • National Standards Authority of Ireland (NSAI)
  • Science Foundation Ireland (SFI)
  • Engineers Ireland

Typical roles

  • Robotics Engineer
  • Automation Engineer
  • Control Systems Engineer
  • PLC Programmer

Questions from Ireland

Which Irish bodies relate to robotics and control engineering, and is this qualification recognised?

Robotics and control engineers in Ireland commonly pursue membership through Engineers Ireland, and the Science Foundation Ireland-funded research ecosystem supports the field. SEIUM's qualifications are private and not accredited by any national body, so recognition is decided by employers or the relevant body rather than conferred by the programme.

How do Irish employers in automation and robotics view private online training?

Employers in Ireland's technology and manufacturing automation sectors often value demonstrable project work and practical skills. A private online qualification can support your application, including through the final project, but its weight is at each employer's discretion. No particular role or career outcome is guaranteed.

Is the programme workable alongside a job, and what language is it taught in?

The programme is taught entirely in English and delivered 100% online, so you can study from anywhere in Ireland or abroad. Durations are 300, 800 or 1,900 hours depending on the course. Fees can be paid in instalments, employer sponsorship is possible, and an assigned technical tutor supports you throughout.

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Learning outcomes

What you will be able to do

01

Understand how robot gearboxes and drives are built.

02

Relate failure modes to their measurable symptoms.

03

Diagnose gears and bearings using advanced vibration analysis.

04

Assess the electrical condition of motors and servo drives.

05

Use controller data to detect backlash and friction.

06

Interpret lubricant analysis alongside other techniques.

07

Carry out root cause analysis and define preventive actions.

Profile

Who it's for

  • Machine diagnostics engineers working with robotic drivetrains.
  • Robot maintenance technicians who need to pinpoint gearbox and drive faults.
  • Vibration analysts extending their skills to variable-speed axes and harmonic gearboxes.
  • Electrical drive specialists who want a mechanical and lubrication perspective.
  • Reliability engineers in charge of robot fleets.
  • Robot after-sales service technicians.
  • Engineering or science graduates aiming to enter the automotive sector.
Standards & tools

What you'll work with

  • ISO 13373-1 (vibration condition monitoring: general procedures)
  • ISO 13379-1 (data interpretation and diagnostic techniques)
  • ISO 15243:2017 (rolling bearings: damage and failures)
  • ISO 10825-1 (gears: wear and damage to gear teeth)
  • IEC 60034-27 (partial discharge in rotating machines)
  • ISO 4406:2021 (particle contamination code)
  • IEEE 43-2013 (insulation resistance of rotating machinery)
  • MATLAB Signal Processing Toolbox
  • Python with SciPy
  • Emerson AMS Machinery Manager
  • SKF @ptitude Analyst
  • Robot manufacturer's diagnostic software
Syllabus

8 modules

  1. 1.1Cycloidal, planetary and harmonic gearboxes
  2. 1.2Backlash, torsional stiffness and transmission error
  3. 1.3Crossed roller bearings
  4. 1.4Lubrication of precision gearboxes
  5. 1.5Permanent magnet synchronous servomotors
  6. 1.6Frequency converters and servo drives
  7. 1.7Absolute encoders and resolvers
  8. 1.8Holding brakes
  9. 1.9Kinematic chain of a robot axis
  10. 1.10Workshop: teardown of a cycloidal gearbox
  1. 2.1Tooth wear and pitting
  2. 2.2Bearing fatigue and spalling
  3. 2.3Lubrication failures and contamination
  4. 2.4Flexspline cracks in harmonic gearboxes
  5. 2.5Winding and insulation failures
  6. 2.6Magnet demagnetisation
  7. 2.7IGBT and DC bus capacitor failures
  8. 2.8Encoder and wiring faults
  9. 2.9FMEA of a robotic axis
  10. 2.10Case study: FMEA of a wrist axis
  1. 3.1Gear mesh frequency and sidebands
  2. 3.2Bearing characteristic frequencies
  3. 3.3Envelope analysis
  4. 3.4Time synchronous averaging
  5. 3.5Order analysis at variable speed
  6. 3.6Cepstrum for harmonic families
  7. 3.7Spectral kurtosis and kurtogram
  8. 3.8Specific features of harmonic gearboxes
  9. 3.9Diagnosis combining current and vibration
  10. 3.10Lab: envelope analysis of a damaged bearing
  1. 4.1Motor current signature analysis (MCSA)
  2. 4.2Park vectors and imbalances
  3. 4.3Insulation resistance and polarisation index
  4. 4.4Partial discharge analysis
  5. 4.5Temperature and insulation life
  6. 4.6DC bus and ripple diagnosis
  7. 4.7Servo drive error codes
  8. 4.8Power quality and harmonics
  9. 4.9Electrical noise and earthing
  10. 4.10Practical: MCSA diagnosis of a servomotor
  1. 5.1Reading torque, current and following error
  2. 5.2Friction and backlash tests with the robot
  3. 5.3Axis frequency response tests
  4. 5.4Backlash indicators from the encoder
  5. 5.5Comparison between twin axes
  6. 5.6Anomaly detection with unsupervised models
  7. 5.7Fault classification with machine learning
  8. 5.8Explainability of the diagnosis
  9. 5.9Fault databases
  10. 5.10Lab: backlash detection with controller data
  1. 6.1Representative sampling of grease and oil
  2. 6.2Viscosity and oxidation
  3. 6.3Wear metal spectrometry
  4. 6.4Analytical ferrography of particles
  5. 6.5Particle counting according to ISO 4406
  6. 6.6Water and contaminant content
  7. 6.7Relubrication intervals
  8. 6.8Combined interpretation with vibration
  9. 6.9Lubricant analysis report
  10. 6.10Case study: wear diagnosis by ferrography
  1. 7.1Failure analysis methodology
  2. 7.2Visual inspection and metrology of parts
  3. 7.3Basic fractography of fracture surfaces
  4. 7.45 Whys and Ishikawa methods
  5. 7.5Fault tree for the drive
  6. 7.6Repair or replace decision
  7. 7.7Replacement and calibration procedures
  8. 7.8Acceptance tests after repair
  9. 7.9Lessons learned and knowledge base
  10. 7.10Workshop: root cause report for a broken gearbox
  1. 8.1Description of the asset and its symptoms
  2. 8.2Multivariable diagnosis plan
  3. 8.3Vibration acquisition and analysis
  4. 8.4Electrical diagnosis of the servomotor
  5. 8.5Lubricant analysis
  6. 8.6Integrated diagnostic conclusion
  7. 8.7Repair recommendation
  8. 8.8Prevention plan
  9. 8.9Report and presentation
  10. 8.10Final project: final review with the tutor
Methodology, software & labs

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 fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB Signal Processing Toolbox, Python with SciPy, Emerson AMS Machinery Manager, SKF @ptitude Analyst and the robot manufacturer's diagnostic software, in free, academic or evaluation versions. Testing is studied through real procedures: envelope and order analysis on variable-speed axes, current signature diagnosis of servomotors, and lubricant analysis and ferrography of gearboxes. Assessment is continuous by module, plus the final project.

Standards covered: ISO 13373-1, ISO 13379-1, ISO 15243:2017, ISO 10825-1, IEC 60034-27, ISO 4406:2021 and IEEE 43-2013.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 13373-1, ISO 13379-1 and ISO 15243:2017 applied to real cases, not as a theoretical annex.
Industry software:MATLAB Signal Processing Toolbox, Python with SciPy, Emerson AMS Machinery Manager, SKF @ptitude Analyst and the robot manufacturer's diagnostic software, in free, academic or evaluation versions.
Final project:an integrated multivariable diagnosis of a robot drive, with repair recommendation and prevention plan, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Asset and symptoms
Describe the drive and its symptoms and draw up a multivariable diagnosis plan.
Vibration analysis
Acquire and analyse vibration using envelope and order techniques.
Electrical diagnosis
Assess the servomotor with MCSA and insulation tests.
Lubricant analysis
Interpret lubricant and particle results alongside the other techniques.
Final project
Reach an integrated diagnostic conclusion with repair recommendation and prevention plan, reviewed by your tutor.
Career opportunities

Where this takes you

Machine diagnostics engineerRobot maintenance technicianVibration analystElectrical drives specialistReliability engineerRobot after-sales service technician
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. No university degree is required.
  • Internet connection and a computer capable of running the programme's 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.

FAQ

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 Signal Processing Toolbox, Python with SciPy, Emerson AMS Machinery Manager, SKF @ptitude Analyst and the robot manufacturer's diagnostic software, 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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