Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Standard

Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis. / Asad, Bilal; Vaimann, Toomas; Belahcen, Anouar; Kallaste, Ants; Rassõlkin, Anton.

Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019. IEEE, 2019. s. 127-133 8864903.

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Harvard

Asad, B, Vaimann, T, Belahcen, A, Kallaste, A & Rassõlkin, A 2019, Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis. julkaisussa Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019., 8864903, IEEE, Sivut 127-133, Toulouse, Ranska, 27/08/2019. https://doi.org/10.1109/DEMPED.2019.8864903

APA

Asad, B., Vaimann, T., Belahcen, A., Kallaste, A., & Rassõlkin, A. (2019). Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis. teoksessa Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019 (Sivut 127-133). [8864903] IEEE. https://doi.org/10.1109/DEMPED.2019.8864903

Vancouver

Asad B, Vaimann T, Belahcen A, Kallaste A, Rassõlkin A. Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis. julkaisussa Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019. IEEE. 2019. s. 127-133. 8864903 https://doi.org/10.1109/DEMPED.2019.8864903

Author

Asad, Bilal ; Vaimann, Toomas ; Belahcen, Anouar ; Kallaste, Ants ; Rassõlkin, Anton. / Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis. Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019. IEEE, 2019. Sivut 127-133

Bibtex - Lataa

@inproceedings{ebf6d072e0344506a5c2011fe5e21930,
title = "Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis",
abstract = "Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.",
keywords = "Fast Fourier transform, Fault diagnosis, Harmonic analysis, Induction motors",
author = "Bilal Asad and Toomas Vaimann and Anouar Belahcen and Ants Kallaste and Anton Rass{\~o}lkin",
year = "2019",
month = "8",
day = "1",
doi = "10.1109/DEMPED.2019.8864903",
language = "English",
pages = "127--133",
booktitle = "Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019",
publisher = "IEEE",
address = "United States",

}

RIS - Lataa

TY - GEN

T1 - Rotor Fault Diagnostic of Inverter Fed Induction Motor Using Frequency Analysis

AU - Asad, Bilal

AU - Vaimann, Toomas

AU - Belahcen, Anouar

AU - Kallaste, Ants

AU - Rassõlkin, Anton

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.

AB - Condition monitoring of electrical machines is essential in industrial operations for improving workplace safety and ensuring reliable and economical exploitation of the machines. Motor current signature analysis (MCSA) monitoring technique is gaining heightened popularity due to the simplicity of its algorithms and the least number of sensors required. In this paper, the harmonic spectrum of industrial inverter fed induction motor is investigated for the detection of broken rotor bars. To improve the legibility of the spectrum, the fundamental component is attenuated using infinite impulse response (IIR) filter because of its good transition band, less passband ripples and low order. The results are first taken from finite element method (FEM) based simulation, where the motor is fed with pure sinusoidal current and only faulty and spatial frequencies are investigated and used as a benchmark. The practical results are based on the measurements taken from the laboratory setup, where the motor under investigation is fed through an industrial inverter working under scalar control mode. The data acquisition is done with a good sampling rate of 100 kHz for better resolution.

KW - Fast Fourier transform

KW - Fault diagnosis

KW - Harmonic analysis

KW - Induction motors

UR - http://www.scopus.com/inward/record.url?scp=85074281373&partnerID=8YFLogxK

U2 - 10.1109/DEMPED.2019.8864903

DO - 10.1109/DEMPED.2019.8864903

M3 - Conference contribution

SP - 127

EP - 133

BT - Proceedings of the 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2019

PB - IEEE

ER -

ID: 38613489