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Postgraduate DiplomaRobotics, Automation & Control Applications open

Postgraduate Diploma in Detection/Diagnosis and FDIR

Online Postgraduate Diploma of 800 hours in Detection/Diagnosis and FDIR. 8 modules covering IEC 61508, ISO 26262 and MATLAB/Simulink. Dedicated tutor and enrolment open.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma
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Learning outcomes

What you will be able to do

01

Classify fault types and analyse redundant architectures.

02

Design model-based residual generators.

03

Apply data-driven techniques for fault detection.

04

Isolate and estimate faults using signatures and observer banks.

05

Implement fault-tolerant control and reconfiguration strategies.

06

Estimate remaining useful life using PHM techniques.

07

Verify FDIR systems through fault injection and HIL testing.

Profile

Who it's for

  • Diagnostics and monitoring engineer looking to specialise in Detection/Diagnosis and FDIR.
  • Functional safety engineer looking to specialise in Detection/Diagnosis and FDIR.
  • Reliability engineer looking to specialise in Detection/Diagnosis and FDIR.
  • Predictive maintenance specialist looking to specialise in Detection/Diagnosis and FDIR.
  • Space systems engineer looking to specialise in Detection/Diagnosis and FDIR.
  • Researcher in fault-tolerant control looking to specialise in Detection/Diagnosis and FDIR.
  • Graduates in engineering or sciences seeking to enter the aerospace sector.
Standards & tools

What you'll work with

  • IEC 61508
  • ISO 26262
  • ISO 13374-1
  • IEC 60812
  • IEC 61025
  • ECSS-E-ST-70-11C
  • ISO 13849-1
Syllabus

8 modules · 800 h

  1. 1.1Terminology: fault, error and failure
  2. 1.2Classification of sensor and actuator faults
  3. 1.3Abrupt, incipient and intermittent faults
  4. 1.4Redundant hardware architectures
  5. 1.5Availability and reliability
  6. 1.6Fault trees and block diagrams
  7. 1.7FDIR concept in critical systems
  8. 1.8Levels of autonomy in the face of faults
  9. 1.9Safety and availability requirements
  10. 1.10Practical: fault tree of an actuation system
  1. 2.1Residual generation
  2. 2.2Luenberger observers for diagnosis
  3. 2.3Parity equations
  4. 2.4Kalman filter and innovation test
  5. 2.5Parameter estimation for diagnosis
  6. 2.6Robustness and decoupling from disturbances
  7. 2.7Adaptive decision thresholds
  8. 2.8Sensitivity to small faults
  9. 2.9Diagnosis with hybrid system models
  10. 2.10Laboratory: residuals with an observer in Simulink
  1. 3.1Principal component analysis and T²
  2. 3.2Q statistic and SPE
  3. 3.3Detection with autoencoders
  4. 3.4Time series models
  5. 3.5Spectral analysis of vibrations
  6. 3.6Supervised fault classifiers
  7. 3.7Labelling fault data
  8. 3.8Detection metrics and false alarms
  9. 3.9Feature selection for diagnosis
  10. 3.10Workshop: fault detection with PCA on process data
  1. 4.1Fault signature matrices
  2. 4.2Design of structured residuals
  3. 4.3Observer banks
  4. 4.4Knowledge-based diagnosis
  5. 4.5Bayesian diagnostic networks
  6. 4.6Case-based reasoning
  7. 4.7Multiple fault diagnosis
  8. 4.8Estimation of fault magnitude
  9. 4.9Data-based isolation classifiers
  10. 4.10Practical: isolation with an observer bank
  1. 5.1Passive fault-tolerant control
  2. 5.2Active fault-tolerant control
  3. 5.3Reconfiguration of control laws
  4. 5.4Control allocation with redundant actuators
  5. 5.5Virtual sensors and estimation
  6. 5.6Degraded operating modes
  7. 5.7Management of mode transitions
  8. 5.8Recovery in space systems
  9. 5.9Reconfiguration of redundant sensors
  10. 5.10Laboratory: control reallocation after an actuator failure
  1. 6.1Prognostics and Health Management (PHM)
  2. 6.2Remaining useful life estimation
  3. 6.3Degradation models
  4. 6.4Particle filters for prognosis
  5. 6.5Condition-based maintenance
  6. 6.6Integration of diagnosis and maintenance
  7. 6.7Health indicators
  8. 6.8OSA-CBM maintenance architectures
  9. 6.9Uncertainty in life prediction
  10. 6.10Case study: remaining life of a bearing
  1. 7.1Fault injection in simulation
  2. 7.2Hardware-in-the-Loop testing with injected faults
  3. 7.3FMECA of the system
  4. 7.4Functional safety requirements
  5. 7.5Diagnostic coverage
  6. 7.6Validation with field data
  7. 7.7Certification in critical sectors
  8. 7.8Documentation of the FDIR architecture
  9. 7.9Metrics for false alarms and late detection
  10. 7.10Case study: fault injection campaign
  1. 8.1System analysis and failure modes
  2. 8.2Detection design
  3. 8.3Isolation design
  4. 8.4Recovery strategy
  5. 8.5Implementation in simulation
  6. 8.6Fault injection campaign
  7. 8.7Coverage assessment
  8. 8.8Analysis of results
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine the programme with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, MATLAB Predictive Maintenance Toolbox, Python with scikit-learn, dSPACE, Isograph Reliability Workbench, in free, academic or evaluation versions. Tests are studied using real procedures for fault detection in chemical process sensors, fault-tolerant control in unmanned aircraft, and bearing remaining useful life prognostics. Assessment is continuous across each module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, with OT cyber-security, DIH and compliance as its pillars.
Capstone project

Build it end to end

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

System analysis and failure modes

Classify fault types and analyse redundant architectures.

Detection design

Design model-based residual generators.

Isolation design

Apply data-driven techniques for fault detection.

Recovery strategy

Isolate and estimate faults using signatures and observer banks.

Implementation in simulation

Implement fault-tolerant control and reconfiguration strategies.

Career opportunities

Where this takes you

Diagnostics and monitoring engineerFunctional safety engineerReliability engineerPredictive maintenance specialistSpace systems engineerResearcher in fault-tolerant control
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient command of Spanish to follow technical standards documentation.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

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FAQ

Frequently asked questions

The programme totals 800 hours, spread over 6 to 8 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.

You will work with MATLAB/Simulink, MATLAB Predictive Maintenance Toolbox, Python with scikit-learn, dSPACE, Isograph Reliability Workbench. Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.

A SEIUM Institute 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 can be credited towards the advanced programme. Please check the credit transfer policy when you enrol.

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