A new space vector approach to detect stator faults in induction motors

K. N. Gyftakis; A. J.Marques Cardoso

doi:10.1109/WEMDCD.2017.7947752

A new space vector approach to detect stator faults in induction motors

K. N. Gyftakis, A. J.Marques Cardoso

School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	232-237
Number of pages	6
ISBN (Electronic)	9781509058532
DOIs	https://doi.org/10.1109/WEMDCD.2017.7947752
Publication status	Published - 13 Jun 2017
Event	2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017 - Nottingham, United Kingdom Duration: 20 Apr 2017 → 21 Apr 2017

Conference

Conference	2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017
Country/Territory	United Kingdom
City	Nottingham
Period	20/04/17 → 21/04/17

Keywords / Materials (for Non-textual outputs)

Condition Monitoring
Fault Diagnosis
Finite Element Method
Induction Motor
Stator Fault

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10.1109/WEMDCD.2017.7947752

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'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.",

keywords = "Condition Monitoring, Fault Diagnosis, Finite Element Method, Induction Motor, Stator Fault",

author = "Gyftakis, {K. N.} and Cardoso, {A. J.Marques}",

note = "Acceptance date set to exclude from REF OA Policy; 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017 ; Conference date: 20-04-2017 Through 21-04-2017",

year = "2017",

month = jun,

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doi = "10.1109/WEMDCD.2017.7947752",

language = "English",

pages = "232--237",

booktitle = "Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Gyftakis, KN & Cardoso, AJM 2017, A new space vector approach to detect stator faults in induction motors. in Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017., 7947752, Institute of Electrical and Electronics Engineers, pp. 232-237, 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017, Nottingham, United Kingdom, 20/04/17. https://doi.org/10.1109/WEMDCD.2017.7947752

A new space vector approach to detect stator faults in induction motors. / Gyftakis, K. N.; Cardoso, A. J.Marques.
Proceedings - 2017 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2017. Institute of Electrical and Electronics Engineers, 2017. p. 232-237 7947752.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A new space vector approach to detect stator faults in induction motors

AU - Gyftakis, K. N.

AU - Cardoso, A. J.Marques

N1 - Acceptance date set to exclude from REF OA Policy

PY - 2017/6/13

Y1 - 2017/6/13

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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DO - 10.1109/WEMDCD.2017.7947752

M3 - Conference contribution

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EP - 237

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

PB - Institute of Electrical and Electronics Engineers

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

Y2 - 20 April 2017 through 21 April 2017

ER -

A new space vector approach to detect stator faults in induction motors

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