A New Space Vector Approach to Detect Stator Faults in Induction Motors

Kostas Gyftakis; A. J. M.  Cardoso

doi:10.1109/WEMDCD.2017.7947752

A New Space Vector Approach to Detect Stator Faults in Induction Motors

Kostas Gyftakis, A. J. M. Cardoso

Universidade da Beira Interior

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

13 Citations (Scopus)

110 Downloads (Pure)

Abstract

Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity and avoiding false positive/negative alarms. This paper presents a new method to detect stator inter-turn faults in induction motors using a new space vector approach. This new vector is based on the higher harmonic index of the Park’s Vector. It is revealed that the time-representation of this vector offers a reliable diagnostic alarm. Moreover, the frequency spectrum of the proposed vector’s modulus can be studied and analyzed to extract more information regarding the fault level severity.

Original language	English
Title of host publication	2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
Publisher	IEEE
Pages	232-237
Number of pages	6
ISBN (Electronic)	978-1-5090-5853-2
DOIs	https://doi.org/10.1109/WEMDCD.2017.7947752
Publication status	Published - 15 Jun 2017
Event	2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis - University of Nottingham, Nottingham, United Kingdom Duration: 20 Apr 2017 → 21 Apr 2017 http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=40025

Conference

Conference	2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis
Abbreviated title	WEMDCD
Country/Territory	United Kingdom
City	Nottingham
Period	20/04/17 → 21/04/17
Internet address	http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=40025

Bibliographical note

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must
be obtained for all other uses, in any current or future media, including
reprinting/republishing this material for advertising or promotional purposes,
creating new collective works, for resale or redistribution to servers or lists, or
reuse of any copyrighted component of this work in other works.
Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium
without the formal permission of the copyright holders.

Keywords

Condition Monitoring
fault diagnosis
finite element method
induction motor
stator fault

Access to Document

10.1109/WEMDCD.2017.7947752

Post-PrintAccepted author manuscript, 1.13 MBLicence: CC BY

Cite this

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title = "A New Space Vector Approach to Detect Stator Faults in Induction Motors",

abstract = "Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity and avoiding false positive/negative alarms. This paper presents a new method to detect stator inter-turn faults in induction motors using a new space vector approach. This new vector is based on the higher harmonic index of the Park{\textquoteright}s Vector. It is revealed that the time-representation of this vector offers a reliable diagnostic alarm. Moreover, the frequency spectrum of the proposed vector{\textquoteright}s modulus can be studied and analyzed to extract more information regarding the fault level severity. ",

keywords = "Condition Monitoring, fault diagnosis, finite element method, induction motor, stator fault",

author = "Kostas Gyftakis and Cardoso, {A. J. M.}",

note = "{\textcopyright} 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. ; 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD ; Conference date: 20-04-2017 Through 21-04-2017",

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AU - Gyftakis, Kostas

AU - Cardoso, A. J. M.

N1 - © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

PY - 2017/6/15

Y1 - 2017/6/15

N2 - Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity and avoiding false positive/negative alarms. This paper presents a new method to detect stator inter-turn faults in induction motors using a new space vector approach. This new vector is based on the higher harmonic index of the Park’s Vector. It is revealed that the time-representation of this vector offers a reliable diagnostic alarm. Moreover, the frequency spectrum of the proposed vector’s modulus can be studied and analyzed to extract more information regarding the fault level severity.

AB - Although induction motors are robust devices, faults may appear and so reliable and stable operation is required. More aspects need to be addressed nowadays in terms of condition monitoring. It is necessary to extract as much information as possible related to the overall motor condition and health. Also, different levels of diagnosis are required, as well necessity of detecting the fault level severity and avoiding false positive/negative alarms. This paper presents a new method to detect stator inter-turn faults in induction motors using a new space vector approach. This new vector is based on the higher harmonic index of the Park’s Vector. It is revealed that the time-representation of this vector offers a reliable diagnostic alarm. Moreover, the frequency spectrum of the proposed vector’s modulus can be studied and analyzed to extract more information regarding the fault level severity.

KW - Condition Monitoring

KW - fault diagnosis

KW - finite element method

KW - induction motor

KW - stator fault

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M3 - Conference proceeding

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BT - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

PB - IEEE

T2 - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis

Y2 - 20 April 2017 through 21 April 2017

ER -

A New Space Vector Approach to Detect Stator Faults in Induction Motors

Abstract

Conference

Bibliographical note

Keywords

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