Static Eccentricity Fault Detection in Brushless Doubly Fed Induction Machines based on MotorCurrent Signature Analysis

Afshar, Mojtaba, Abdi Jalebi, Salman, Ebrahimi, Mohammad and Mortazavizadeh, Seyed Abolfazl (2019) Static Eccentricity Fault Detection in Brushless Doubly Fed Induction Machines based on MotorCurrent Signature Analysis. In: Industrial Electronic Society Annual Conference (IECON), 2019-10-14 - 2019-10-17.

Preview

PDF (Accepted_manuscript) - Accepted Version Download (1MB) | Preview

Abstract

In this paper a new rotor eccentricity fault detection method is proposed for the first time for Brushless Doubly Fed Induction Machines (BDFIMs). Due to the fact that BDFIMs are attractive alternatives to doubly fed induction machines for wind power generation, paying attention to their fault diagnosis is essential. Existing fault detection methods for conventional induction machines can not be directly applied to the BDFIM due to its special rotor structure and stator winding configurations as well as the complex magnetic fields. In this paper a new fault detection technique based on stator current harmonic analysis is proposed to detect rotor eccentricity faults in the BDFIM. The validity of the proposed fault detection method is verified by analytical winding function method and finite element analysis on a prototype D180 BDFIM. Index Terms—Brushless doubly fed induction machines, Nested-loop rotor slot harmonics, Motor current signature analysis, Winding function method, Finite element analysis, Static eccentricity fault.

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Engineering (former - to 2024)
UEA Research Groups:	Faculty of Science > Research Groups > Sustainable Energy
Depositing User:	LivePure Connector
Date Deposited:	27 Nov 2019 01:25
Last Modified:	07 Nov 2024 12:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/73045
DOI:	10.1109/IECON.2019.8926698

Downloads

Actions (login required)

View Item