FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis

Panagiotis Panagiotou, Ioannis Arvanitakis, Neophytos Lophitis, Konstantinos N. Gyftakis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

2 Citations (Scopus)
86 Downloads (Pure)

Abstract

The wide range of applications using induction machines has been enhanced with the rapid evolution of condition monitoring and variable speed drives. The latter two, along with their constantly growing demands, have raised the necessity of new approaches and techniques in fault diagnostics. A reliable solution to this matter, has proven to be the monitoring of stray magnetic flux. Accounted for in different locations on the machine's peripheral area and with different measurement techniques, the stray flux provides valuable information for fault detection and identification. This paper aims to apply one of these diagnostic strategies and the related measurement of stray flux using FEM, to evaluate its performance and diagnostic capability on two machines of different size and power rating and conclude on the quantitative effectiveness of such strategies.
Original languageEnglish
Title of host publication 2018 XIII International Conference on Electrical Machines (ICEM)
PublisherIEEE
Pages1861-1867
Number of pages7
ISBN (Electronic)978-1-5386-2477-7
ISBN (Print) 978-1-5386-2478-4
DOIs
Publication statusPublished - 25 Oct 2018
EventXIII International Conference on Electrical Machines - Alexandroupoli, Greece
Duration: 3 Sep 20186 Sep 2018
http://www.icem.cc/2018/

Conference

ConferenceXIII International Conference on Electrical Machines
Abbreviated titleICEM 2018
CountryGreece
CityAlexandroupoli
Period3/09/186/09/18
Internet address

Keywords

  • stray flux
  • condition monitoring
  • induction machines
  • flux sensors

Fingerprint Dive into the research topics of 'FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis'. Together they form a unique fingerprint.

  • Cite this

    Panagiotou, P., Arvanitakis, I., Lophitis, N., & Gyftakis, K. N. (2018). FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis. In 2018 XIII International Conference on Electrical Machines (ICEM) (pp. 1861-1867). IEEE. https://doi.org/10.1109/ICELMACH.2018.8506707