Course EIT-AUT-460-K-7

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

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

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	Zhang, Ping, Prof. Dr.-Ing. (PROF \| DEPT: EIT)
Area of study	[EIT-AUT] Automation Control
Livecycle-State	[NORM] Active

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).

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.

Lecture notes

None

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