Module description

Diagnosis, Monitoring and Reconfiguration of Electric Machines Drives

Renewable Energy and Energy Efficiency - Management, Engineering and Application, Master (PO-2026)

Unique module number	ETechn-9850-M
Module number / code	W-Sfax-06
Module name	Diagnosis, Monitoring and Reconfiguration of Electric Machines Drives
Type of module	Elective module
Learning outcomes, acquired competencies and qualification goals	After the successful participation in the course Faults in Electric Machine Drives the students are able to: have an overview on the most common faults occurring in AC electric drives (induction and synchronous machines) distinguish the different type of faults whether they are mechanically- or electrically- caused predict faults on the different electric drive components After the successful participation in the course Faults Detection and Isolation Techniques and Methods the students are able to: know the diagnosis procedure when the data acquisition process may reveal abnormal operating conditions distinguish between model-based and data-based diagnosis method and their cases of usage determine the parameters and variables to diagnose and use the appropriate model to predict it Fault detection and isolation and the synthesis of fault-tolerant control strategies After the successful participation in the course Fault-Tolerant Control Strategies the students are able to: know the main factors to be considered in any fault-tolerant control system to automatically compensate the faults distinguish between passive and active fault tolerant control techniques, acknowledge their characteristics and case of usage
Course types	VLmP+Ü (1 SWS), VLmP+Ü (1 SWS), VLmP+Ü (1 SWS)
Content	Faults in Electric Machine Drives Faults in AC drives Voltage supply inverter faults Sensor faults Faults Detection and Isolation Techniques and Methods Diagnosis: general procedure FDI methods classification Faults detection: model-based method Faults detection: signal processing techniques Faults detection: motor current signature analysis (MCSA) technique Faults detection: Artificial Intelligent Based Methods Fault-Tolerant Control Strategies Principle of fault tolerant control Fault tolerant control: passive technique Fault tolerant control: active technique Fault tolerant control: hybrid technique
Title of courses	Faults in Electric Machine Drives, Faults Detection and Isolation Techniques and Methods, Fault-Tolerant Control Strategies
Teaching and learning methods	lecture, exercise
Usabilitiy in other programs
Duration	1 Semester
Frequency of module offer	annually in summer semester
Teaching language	English
Recommended (knowledge) prerequisites
Required prerequisites for participation	none
Student workload	90 hours (45 h course attendance, 45 h self-study)
Required course work	none
Prerequisites for examination(s)	none
Module examination(s)	Examination P1: Faults in Electric Machine Drives - written exam (90 min), Faults Detection and Isolation Techniques and Methods - written exam (90 min) Grade weighting P1: 67% Examination P2: Fault-Tolerant Control Strategies - written exam (90 min) Grade weighting P2: 33%
Credit points (ECTS)	3 cp
Teaching unit	Elektrotechnik
Responsible person	Prof. Dahlhaus
Lecturer(s)	Houda Ben Attia-Sethom
Media used	black board and beamer, case studies in groups, lab experiments, measurements.
Recommended literature
Comments	3 cp (1 cp - Faults in Electric Machine Drives; 1 cp - Faults Detection and Isolation Techniques and Methods; 1 cp - Fault-Tolerant Control Strategies)