Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation

William Oñate; Yessenia Gallardo; Ramón Pérez; Gustavo Caiza

doi:10.1007/978-981-16-4884-7_10

Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation

William Oñate, Yessenia Gallardo, Ramón Pérez, Gustavo Caiza

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

4 Scopus citations

Abstract

Manufacturing companies intend to find reliability in their processes and procedures, reasons for which faults must be predicted in order to generate actions in a timely manner so that the operation of the electric machine is reliable. The present work shows a procedure for detecting faults in bars of a three-phase induction motor, based on upper lateral bands near the fundamental and up to 900 [Hz], focused on the technique of the Park transformation, a method that demodulates the currents resulting in the associated components of torque and magnetization which will be analyzed by Fast Fourier Transform (FFT). The spectra near the fundamental of the current presented an average frequency coincidence with respect to the theoretical equation of 98.6% for bands 1× and 7×, and an average frequency coincidence far from the fundamental in 99.4% in bands 10×, 17×, 20×, and 77×. The tests were performed using a laboratory test bench for electric motors where it is observed that the Park transform provides wide and clean results over the entire frequency range, eliminating the uncertainties and/or errors that may arise in the event of a diagnosis of broken bar fault compared to MCSA results.

Original language	English
Title of host publication	Developments and Advances in Defense and Security - Proceedings of MICRADS 2021
Editors	Álvaro Rocha, Carlos Hernan Fajardo-Toro, José María Riola Rodríguez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	119-130
Number of pages	12
ISBN (Print)	9789811648830
DOIs	https://doi.org/10.1007/978-981-16-4884-7_10
State	Published - 2022
Event	Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021 - Cartagena, Colombia Duration: 18 Aug 2021 → 20 Aug 2021

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	255
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021
Country/Territory	Colombia
City	Cartagena
Period	18/08/21 → 20/08/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

Fast fourier transform (FFT)
MCSA
Park’s demodulation

Access to Document

10.1007/978-981-16-4884-7_10

Cite this

Oñate, W., Gallardo, Y., Pérez, R., & Caiza, G. (2022). Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation. In Á. Rocha, C. H. Fajardo-Toro, & J. M. Riola Rodríguez (Eds.), Developments and Advances in Defense and Security - Proceedings of MICRADS 2021 (pp. 119-130). (Smart Innovation, Systems and Technologies; Vol. 255). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-16-4884-7_10

Oñate, William ; Gallardo, Yessenia ; Pérez, Ramón et al. / Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation. Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. editor / Álvaro Rocha ; Carlos Hernan Fajardo-Toro ; José María Riola Rodríguez. Springer Science and Business Media Deutschland GmbH, 2022. pp. 119-130 (Smart Innovation, Systems and Technologies).

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abstract = "Manufacturing companies intend to find reliability in their processes and procedures, reasons for which faults must be predicted in order to generate actions in a timely manner so that the operation of the electric machine is reliable. The present work shows a procedure for detecting faults in bars of a three-phase induction motor, based on upper lateral bands near the fundamental and up to 900 [Hz], focused on the technique of the Park transformation, a method that demodulates the currents resulting in the associated components of torque and magnetization which will be analyzed by Fast Fourier Transform (FFT). The spectra near the fundamental of the current presented an average frequency coincidence with respect to the theoretical equation of 98.6% for bands 1× and 7×, and an average frequency coincidence far from the fundamental in 99.4% in bands 10×, 17×, 20×, and 77×. The tests were performed using a laboratory test bench for electric motors where it is observed that the Park transform provides wide and clean results over the entire frequency range, eliminating the uncertainties and/or errors that may arise in the event of a diagnosis of broken bar fault compared to MCSA results.",

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Oñate, W, Gallardo, Y, Pérez, R & Caiza, G 2022, Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation. in Á Rocha, CH Fajardo-Toro & JM Riola Rodríguez (eds), Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. Smart Innovation, Systems and Technologies, vol. 255, Springer Science and Business Media Deutschland GmbH, pp. 119-130, Multidisciplinary International Conference of Research Applied to Defense and Security, MICRADS 2021, Cartagena, Colombia, 18/08/21. https://doi.org/10.1007/978-981-16-4884-7_10

Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation. / Oñate, William; Gallardo, Yessenia; Pérez, Ramón et al.
Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. ed. / Álvaro Rocha; Carlos Hernan Fajardo-Toro; José María Riola Rodríguez. Springer Science and Business Media Deutschland GmbH, 2022. p. 119-130 (Smart Innovation, Systems and Technologies; Vol. 255).

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

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T1 - Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation

AU - Oñate, William

AU - Gallardo, Yessenia

AU - Pérez, Ramón

AU - Caiza, Gustavo

PY - 2022

Y1 - 2022

N2 - Manufacturing companies intend to find reliability in their processes and procedures, reasons for which faults must be predicted in order to generate actions in a timely manner so that the operation of the electric machine is reliable. The present work shows a procedure for detecting faults in bars of a three-phase induction motor, based on upper lateral bands near the fundamental and up to 900 [Hz], focused on the technique of the Park transformation, a method that demodulates the currents resulting in the associated components of torque and magnetization which will be analyzed by Fast Fourier Transform (FFT). The spectra near the fundamental of the current presented an average frequency coincidence with respect to the theoretical equation of 98.6% for bands 1× and 7×, and an average frequency coincidence far from the fundamental in 99.4% in bands 10×, 17×, 20×, and 77×. The tests were performed using a laboratory test bench for electric motors where it is observed that the Park transform provides wide and clean results over the entire frequency range, eliminating the uncertainties and/or errors that may arise in the event of a diagnosis of broken bar fault compared to MCSA results.

AB - Manufacturing companies intend to find reliability in their processes and procedures, reasons for which faults must be predicted in order to generate actions in a timely manner so that the operation of the electric machine is reliable. The present work shows a procedure for detecting faults in bars of a three-phase induction motor, based on upper lateral bands near the fundamental and up to 900 [Hz], focused on the technique of the Park transformation, a method that demodulates the currents resulting in the associated components of torque and magnetization which will be analyzed by Fast Fourier Transform (FFT). The spectra near the fundamental of the current presented an average frequency coincidence with respect to the theoretical equation of 98.6% for bands 1× and 7×, and an average frequency coincidence far from the fundamental in 99.4% in bands 10×, 17×, 20×, and 77×. The tests were performed using a laboratory test bench for electric motors where it is observed that the Park transform provides wide and clean results over the entire frequency range, eliminating the uncertainties and/or errors that may arise in the event of a diagnosis of broken bar fault compared to MCSA results.

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Oñate W, Gallardo Y, Pérez R, Caiza G. Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation. In Rocha Á, Fajardo-Toro CH, Riola Rodríguez JM, editors, Developments and Advances in Defense and Security - Proceedings of MICRADS 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 119-130. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-981-16-4884-7_10

Comparative Analysis of High Frequencies for the Broken Bar Fault Diagnosis Using MCSA and Park’s Vector Demodulation

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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