Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Daniel Morinigo-Sotelo; Rene J. Romero-Troncoso; Jose A. Antonino-Daviu; Konstantinos N. Gyftakis

doi:10.1109/ICELMACH.2016.7732932

Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Daniel Morinigo-Sotelo, Rene J. Romero-Troncoso, Jose A. Antonino-Daviu, Konstantinos N. Gyftakis

School of Engineering

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

Abstract

Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.

Original language	English
Title of host publication	2016 XXII International Conference on Electrical Machines (ICEM)
Publisher	Institute of Electrical and Electronics Engineers
Pages	2881-2886
Number of pages	6
ISBN (Electronic)	9781509025381
DOIs	https://doi.org/10.1109/ICELMACH.2016.7732932
Publication status	Published - 3 Nov 2016
Event	22nd International Conference on Electrical Machines, ICEM 2016 - Lausanne, Switzerland Duration: 4 Sept 2016 → 7 Sept 2016

Conference

Conference	22nd International Conference on Electrical Machines, ICEM 2016
Country/Territory	Switzerland
City	Lausanne
Period	4/09/16 → 7/09/16

Keywords / Materials (for Non-textual outputs)

Broken bar
Fault diagnosis
Induction motor
MUSIC
ZSC

Access to Document

10.1109/ICELMACH.2016.7732932

Cite this

Morinigo-Sotelo, D., Romero-Troncoso, R. J., Antonino-Daviu, J. A., & Gyftakis, K. N. (2016). Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods. In 2016 XXII International Conference on Electrical Machines (ICEM) (pp. 2881-2886). Article 7732932 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICELMACH.2016.7732932

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title = "Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods",

abstract = "Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.",

keywords = "Broken bar, Fault diagnosis, Induction motor, MUSIC, ZSC",

author = "Daniel Morinigo-Sotelo and Romero-Troncoso, \{Rene J.\} and Antonino-Daviu, \{Jose A.\} and Gyftakis, \{Konstantinos N.\}",

note = "Acceptance date set to exclude from REF OA Policy; 22nd International Conference on Electrical Machines, ICEM 2016 ; Conference date: 04-09-2016 Through 07-09-2016",

year = "2016",

month = nov,

day = "3",

doi = "10.1109/ICELMACH.2016.7732932",

language = "English",

pages = "2881--2886",

booktitle = "2016 XXII International Conference on Electrical Machines (ICEM)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Morinigo-Sotelo, D, Romero-Troncoso, RJ, Antonino-Daviu, JA & Gyftakis, KN 2016, Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods. in 2016 XXII International Conference on Electrical Machines (ICEM)., 7732932, Institute of Electrical and Electronics Engineers, pp. 2881-2886, 22nd International Conference on Electrical Machines, ICEM 2016, Lausanne, Switzerland, 4/09/16. https://doi.org/10.1109/ICELMACH.2016.7732932

Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods. / Morinigo-Sotelo, Daniel; Romero-Troncoso, Rene J.; Antonino-Daviu, Jose A. et al.
2016 XXII International Conference on Electrical Machines (ICEM). Institute of Electrical and Electronics Engineers, 2016. p. 2881-2886 7732932.

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

TY - GEN

T1 - Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

AU - Morinigo-Sotelo, Daniel

AU - Romero-Troncoso, Rene J.

AU - Antonino-Daviu, Jose A.

AU - Gyftakis, Konstantinos N.

N1 - Acceptance date set to exclude from REF OA Policy

PY - 2016/11/3

Y1 - 2016/11/3

N2 - Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.

AB - Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.

KW - Broken bar

KW - Fault diagnosis

KW - Induction motor

KW - MUSIC

KW - ZSC

UR - https://www.scopus.com/pages/publications/85007342446

U2 - 10.1109/ICELMACH.2016.7732932

DO - 10.1109/ICELMACH.2016.7732932

M3 - Conference contribution

AN - SCOPUS:85007342446

SP - 2881

EP - 2886

BT - 2016 XXII International Conference on Electrical Machines (ICEM)

PB - Institute of Electrical and Electronics Engineers

T2 - 22nd International Conference on Electrical Machines, ICEM 2016

Y2 - 4 September 2016 through 7 September 2016

ER -

Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Abstract

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Keywords / Materials (for Non-textual outputs)

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