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Course Detail

Course Name Condition Monitoring and Predictive Maintenance
Course Code 25PE637
Program M.Tech. Electrical Engineering
Credits 3
Campuses Coimbatore, Bengaluru

Syllabus

Syllabus

Principles of variable speed drives applied to electrical machines – Reliability of Machines and typical failure rates – Need for Condition Monitoring – Methodologies. Faults in induction and synchronous machines – stator, rotor, bearing, eccentricity, demagnetization. Modeling of electrical machines – winding function approach, magnetic equivalent circuit method.

Analysis of faults using finite element method – geometric modelling, analysis of airgap flux density, Fault diagnosis techniques based on frequency domain – vibration, current, power and flux, Fault diagnosis techniques based on model-based techniques.

Application of pattern recognition to fault diagnosis, Digital signal processing requirements for fault diagnosis, Application of artificial intelligence techniques for fault diagnosis.

Objectives and Outcomes

Pre-requisite: Nil

Course Objective

  • To impart knowledge on condition monitoring of electrical machines through theoretical and practical approach using finite element analysis, signal processing and artificial intelligence.

Course Outcomes

CO1: Understand the occurrence of various faults and their causes in electrical machines.

CO2: Modelling of faults in electrical machines.

CO3: Analyze the faults using finite element and various signal-processing approaches.

CO4: Apply artificial intelligence techniques for fault diagnosis.

CO-PO Mapping

PO/PSO

PO1

PO2

PO3

PO4/PSO1

PO5/PSO2

CO

CO1

3

3

CO2

3

3

2

CO3

3

2

2

2

CO4

3

2

2

2

Textbooks/ References 

  • Toliyat, Hamid A., et al. Electric machines: modeling, condition monitoring, and fault diagnosis. CRC press, 2012.
  • Tavner, Peter, et al. Condition monitoring of rotating electrical machines. 3rd Edition. IET, 2020

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