Abstract

This chapter deals with detection of stator and rotor asymmetries faults in wound rotor induction machines using rotor and stator currents signatures analysis. This is proposed as the experimental part of fault diagnosis in electrical machines course for master’s degree students in electrical engineering at University of Picardie “Jules Verne”. The aim is to demonstrate the main steps of real-time condition monitoring development for wound rotor induction machines. In this regard, the related parameters of classical model of wound rotor induction machine under study are initially estimated. Then, the latter model is validated through experiments in both healthy and faulty conditions at different levels of the load. Finally, an algorithm is implemented in a real-time data acquisition system for online detection of stator and rotor asymmetries faults. An experimental test bench based on a three-phase 90 W wound rotor induction machine and a real-time platform for hardware-in-the-loop test are utilized for validation of the proposed condition monitoring techniques.

Highlights

  • Fault diagnosis of electrical machines is a very active topic of research and several books have been published, which detail new developed techniques for efficient condition monitoring of electrical machines

  • This leads to a better evaluation of fault detection and diagnosis (FDD) methods in all possible working condition scenarios which are sometimes hard to acquire in real practice using an experimental test bench

  • The asymmetry fault in practice can be obtained by adding series resistance in one phase of stator and/or rotor winding which simplifies the evaluation of FDD methods through both numerical simulations and experiments

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Summary

Introduction

Fault diagnosis of electrical machines is a very active topic of research and several books have been published, which detail new developed techniques for efficient condition monitoring of electrical machines. The real-time simulation results have been demonstrated the presence of fault-related frequency components in the stator current spectrum [3] In this regard, introducing engineering students to FDD system design for electrical machines including its development stages is totally new in the literature [7–9]. This is proposed as the experimental part of fault diagnosis in electrical machines course offered to the master’s degree students in electrical engineering at University of Picardie “Jules Verne” Both stator and rotor windings asymmetries are investigated. An experimental test bench, based on a three-phase 90 W wound rotor induction machine and a real-time platform for H-i-L tests, are utilized for validation of the proposed condition monitoring techniques

Lls þ Lmr À 1 Lmr
Healthy working condition
RAF detection
SAF detection
Real-time RAF and SAF detections
Conclusion
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