Module Handbook

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Course EIT-AUT-460-K-7

Fault Diagnosis and Fault Tolerant Control (2V, 3.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
2 V Lecture 3.0 CP 28 h 62 h
(2V) 3.0 CP 28 h 62 h

Basedata

SWS 2V
CP, Effort 3.0 CP = 90 h
Position of the semester 1 Sem. in SuSe
Level [7] Master (Advanced)
Language [EN] English
Lecturers
Area of study [EIT-AUT] Automation Control
Livecycle-State [NORM] Active

Contents

  • Fault analysis methods (fault tree analysis, failure modes and effect analysis, criticality analysis)
  • Maintenance strategies (e.g. preventive maintenance, risk-based maintenance) and the integration of fault diagnosis in maintenance
  • Model-based process monitoring and fault diagnosis methods (observer based approaches, parity space approach)
  • Residual generation, residual evaluation and threshold selection
  • Methods of fault isolation and identification
  • Key performance indices of fault diagnosis systems
  • Data-driven fault diagnosis, multivariable statistical data analysis (e.g. principle component analysis, partial least squares, subspace based approaches)
  • Fault tolerant control (active fault tolerant control, passive fault tolerant control)
  • Basic procedure of carrying out fault diagnosis projects
  • Plant asset management (concept, key components and realization).

Literature

  • M. Blanke, M. Kinnaert, J. Lunze, M. Staroswiecki. Diagnosis and Fault Tolerant Control. Springer Verlag, 2016.
  • S.X. Ding. Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms and Tools. Springer Verlag, 2013.
  • E.L. Russell, L.H. Chiang, R.D. Braatz: Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes. Springer Verlag, 2013.

Materials

Lecture notes

Requirements for attendance (informal)

Modules:

Requirements for attendance (formal)

None

References to Course [EIT-AUT-460-K-7]

Module Name Context
[EIT-AUT-460-M-7] Fault Diagnosis and Fault Tolerant Control P: Obligatory 2V, 3.0 LP