Diagnosis, Monitoring and Reconfiguration of Electric Machines Drives

Module Title Diagnosis, Monitoring and Reconfiguration of Electric Machines Drives
Module Type E
CompetencyFault detection and isolation and the synthesis of fault-tolerant control strategies
Courses Title Teaching Method SWS Credits Performance requirements/Examination
Faults in Electric Machine Drives
lecture, exercise 1 1 exam (100%)
Faults Detection and Isolation Techniques and Methods lecture, exercise 1 1
Fault-Tolerant Control Strategies lecture, exercise 1 1
Semester summer
Responsible Ben Attia-Sethom
Site Sfax
Lecturer(s) Houda Ben Attia-Sethom
Language English
Workload 45 hours course attendance
Credits 3
Recommended Qualifications  -
Learning Outcomes a) Faults in Electric Machine Drives
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.
b) Faults Detection and Isolation Techniques and Methods
After the successful participation in the course Faults Detection and Isolation Techniques and Methods the students are able:
  • 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.
c) Fault-Tolerant Control Strategies
After the successful participation in the course Fault-Tolerant Control Strategies the students are able:
  • 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.
Contents a) Faults in Electric Machine Drives
  • Faults in AC drives
  • Voltage supply inverter faults
  • Sensor faults
b) Faults Detection and Isolation (FDI) 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
c) Fault-Tolerant Control Strategies
  • Principle of fault tolerant control
  • Fault tolerant control: passive technique
  • Fault tolerant control: active technique
  • Fault tolerant control: hybrid technique
Media Black board and beamer, lectures and presentations, simulation using conventional software packages.
Literature
  • M. Bourogaoui, I. Jlassi, S. Khojet El Khil, and H. Ben Attia Sethom, An Effective Encoder Fault detection in PMSM Drives at Different Speed Ranges, 2015 IEEE 10th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), pp. 90-96, Guarda, Portugal, Sptember 2015.
  • A. Bennani-Ben Abdelghani, H. Ben Abdelghani, F. Richardeau, J.-M. Blaquière, F. Mosser, and I. Slama-Belkhodja, Versatile Three-Level FC-NPC Converter With High Fault-Tolerance Capabilities: Switch Fault Detection and Isolation and Safe Postfault Operation, IEEE Trans. on Industrial Electronics, vol. 64, no. 8, pp. 6453-6464, 2017.