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

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

doi:10.1109/ICELMACH.2018.8506707

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 proceeding › Conference proceeding › peer-review

6 Citations (Scopus)

224 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 language	English
Title of host publication	2018 XIII International Conference on Electrical Machines (ICEM)
Publisher	IEEE
Pages	1861-1867
Number of pages	7
ISBN (Electronic)	978-1-5386-2477-7
ISBN (Print)	978-1-5386-2478-4
DOIs	https://doi.org/10.1109/ICELMACH.2018.8506707
Publication status	Published - 25 Oct 2018
Event	XIII International Conference on Electrical Machines - Alexandroupoli, Greece Duration: 3 Sept 2018 → 6 Sept 2018 http://www.icem.cc/2018/

Conference

Conference	XIII International Conference on Electrical Machines
Abbreviated title	ICEM 2018
Country/Territory	Greece
City	Alexandroupoli
Period	3/09/18 → 6/09/18
Internet address	http://www.icem.cc/2018/

Keywords

stray flux
condition monitoring
induction machines
flux sensors

Access to Document

10.1109/ICELMACH.2018.8506707

Post-PrintAccepted author manuscript, 1.48 MBLicence: CC BY

Cite this

FEM Study of Induction Machines Suffering from Rotor Electrical Faults Using Stray Flux Signature Analysis. / Panagiotou, Panagiotis; Arvanitakis, Ioannis; Lophitis, Neophytos et al.
2018 XIII International Conference on Electrical Machines (ICEM). IEEE, 2018. p. 1861-1867.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Panagiotou, P, Arvanitakis, I, Lophitis, N & Gyftakis, KN 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). IEEE, pp. 1861-1867, XIII International Conference on Electrical Machines, Alexandroupoli, Greece, 3/09/18. https://doi.org/10.1109/ICELMACH.2018.8506707

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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.",

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AU - Gyftakis, Konstantinos N.

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N2 - 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.

AB - 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.

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KW - condition monitoring

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KW - flux sensors

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BT - 2018 XIII International Conference on Electrical Machines (ICEM)

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ER -

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

Abstract

Conference

Keywords

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