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A novel harmonic isolation method for the reliable detection of rotor breakages in induction motors

A novel harmonic isolation method for the reliable detection of rotor breakages in induction motors
A novel harmonic isolation method for the reliable detection of rotor breakages in induction motors

This paper presents a novel methodology for the detection and diagnosis of rotor faults in induction machines using signal estimation. The proposed approach is independent of the motor slip and relies on the isolation of main harmonics rather than on the investigation of signatures with traditional approaches such as the identification of fault-related sidebands. The method is applied on the stator line current capturing the transient nature of fault-related frequencies at the steady state. Thus, it enables a reliable diagnostic strategy by the isolated harmonics and their analysis over time and frequency. The method's effectiveness was explored with electromagnetic simulations of two induction machines of different geometry, manufacture, and power scale. Then, the method was validated experimentally on a 1.1 kW induction motor.

harmonic isolation, induction motors, rotor faults
0093-9994
6129-6139
Panagiotou, Panagiotis A.
b90a571c-2c03-4404-9f3c-e9c3e1d5c995
Song, Zihao
7845f866-1dda-4a44-a480-96865e954993
Mayo-Maldonado, Jonathan C.
c7321b60-3130-43f4-89f4-f12ac5b2f822
Arvanitakis, Ioannis
5f4676fd-db79-49bb-9efb-798b8ba17384
Escobar, Gerardo
9d5b1954-920f-46b6-83a3-fc61eed024f2
Antonino-Daviu, Jose A.
e3190b71-6050-421e-bb65-fab8ddc883e0
Gyftakis, Konstantinos N.
a7aa74a2-e0bf-4863-b62c-8e2fdf530780
Panagiotou, Panagiotis A.
b90a571c-2c03-4404-9f3c-e9c3e1d5c995
Song, Zihao
7845f866-1dda-4a44-a480-96865e954993
Mayo-Maldonado, Jonathan C.
c7321b60-3130-43f4-89f4-f12ac5b2f822
Arvanitakis, Ioannis
5f4676fd-db79-49bb-9efb-798b8ba17384
Escobar, Gerardo
9d5b1954-920f-46b6-83a3-fc61eed024f2
Antonino-Daviu, Jose A.
e3190b71-6050-421e-bb65-fab8ddc883e0
Gyftakis, Konstantinos N.
a7aa74a2-e0bf-4863-b62c-8e2fdf530780

Panagiotou, Panagiotis A., Song, Zihao, Mayo-Maldonado, Jonathan C., Arvanitakis, Ioannis, Escobar, Gerardo, Antonino-Daviu, Jose A. and Gyftakis, Konstantinos N. (2025) A novel harmonic isolation method for the reliable detection of rotor breakages in induction motors. IEEE Transactions on Industry Applications, 61 (4), 6129-6139. (doi:10.1109/TIA.2025.3544571).

Record type: Article

Abstract

This paper presents a novel methodology for the detection and diagnosis of rotor faults in induction machines using signal estimation. The proposed approach is independent of the motor slip and relies on the isolation of main harmonics rather than on the investigation of signatures with traditional approaches such as the identification of fault-related sidebands. The method is applied on the stator line current capturing the transient nature of fault-related frequencies at the steady state. Thus, it enables a reliable diagnostic strategy by the isolated harmonics and their analysis over time and frequency. The method's effectiveness was explored with electromagnetic simulations of two induction machines of different geometry, manufacture, and power scale. Then, the method was validated experimentally on a 1.1 kW induction motor.

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More information

Accepted/In Press date: 2025
Published date: 24 February 2025
Keywords: harmonic isolation, induction motors, rotor faults

Identifiers

Local EPrints ID: 509741
URI: http://eprints.soton.ac.uk/id/eprint/509741
ISSN: 0093-9994
PURE UUID: afe8d152-c1fe-4833-a3fa-9f0e49e5b099
ORCID for Jonathan C. Mayo-Maldonado: ORCID iD orcid.org/0000-0003-2513-2395

Catalogue record

Date deposited: 03 Mar 2026 18:05
Last modified: 04 Mar 2026 03:11

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Contributors

Author: Panagiotis A. Panagiotou
Author: Zihao Song
Author: Jonathan C. Mayo-Maldonado ORCID iD
Author: Ioannis Arvanitakis
Author: Gerardo Escobar
Author: Jose A. Antonino-Daviu
Author: Konstantinos N. Gyftakis

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