Park Vector Approach based Misalignment Detection Strategy for IMs

Ege Kahraman; Anil Erkut Ulusoy; Mehmet Ozan Şerifoǧlu; Duygu Bayram Kara

doi:10.1109/ELECO60389.2023.10416077

Park Vector Approach based Misalignment Detection Strategy for IMs

Ege Kahraman^*, Anil Erkut Ulusoy, Mehmet Ozan Şerifoǧlu, Duygu Bayram Kara

^*Corresponding author for this work

Department of Electrical Engineering

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

Abstract

Tracking mechanical problems using current signal is a very promising area with the ease of data collection. For this aim, in this study, a misalignment detection strategy has been developed using Park Vector Approach (PVA). PVA is applied to healthy and misaligned induction motor's current signals during steady state and starting. It is noticed that the shape of Lissajou's curve is informative during steady-state operation. On the other hand, the thickness of curve is more descriptive during starting. As the proposed detection strategy, in the existence of these two factors, namely the shape defect in steady state and thicker curve structure in starting, the motor can be labeled as misaligned. Besides the proposed strategy, this study is a good example of PVA application to transient periods, in experimental basis. The study brings a unique contribution to the literature by the employment of transient data and combining two findings based on PVA.

Original language	English
Title of host publication	14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350360493
DOIs	https://doi.org/10.1109/ELECO60389.2023.10416077
Publication status	Published - 2023
Event	14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Virtual, Bursa, Turkey Duration: 30 Nov 2023 → 2 Dec 2023

Publication series

Name	14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings

Conference

Conference	14th International Conference on Electrical and Electronics Engineering, ELECO 2023
Country/Territory	Turkey
City	Virtual, Bursa
Period	30/11/23 → 2/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

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10.1109/ELECO60389.2023.10416077

Cite this

Kahraman, E., Ulusoy, A. E., Ozan Şerifoǧlu, M., & Kara, D. B. (2023). Park Vector Approach based Misalignment Detection Strategy for IMs. In 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings (14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECO60389.2023.10416077

Kahraman, Ege ; Ulusoy, Anil Erkut ; Ozan Şerifoǧlu, Mehmet et al. / Park Vector Approach based Misalignment Detection Strategy for IMs. 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings).

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title = "Park Vector Approach based Misalignment Detection Strategy for IMs",

abstract = "Tracking mechanical problems using current signal is a very promising area with the ease of data collection. For this aim, in this study, a misalignment detection strategy has been developed using Park Vector Approach (PVA). PVA is applied to healthy and misaligned induction motor's current signals during steady state and starting. It is noticed that the shape of Lissajou's curve is informative during steady-state operation. On the other hand, the thickness of curve is more descriptive during starting. As the proposed detection strategy, in the existence of these two factors, namely the shape defect in steady state and thicker curve structure in starting, the motor can be labeled as misaligned. Besides the proposed strategy, this study is a good example of PVA application to transient periods, in experimental basis. The study brings a unique contribution to the literature by the employment of transient data and combining two findings based on PVA.",

author = "Ege Kahraman and Ulusoy, {Anil Erkut} and {Ozan {\c S}erifoǧlu}, Mehmet and Kara, {Duygu Bayram}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 ; Conference date: 30-11-2023 Through 02-12-2023",

year = "2023",

doi = "10.1109/ELECO60389.2023.10416077",

language = "English",

series = "14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings",

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Kahraman, E, Ulusoy, AE, Ozan Şerifoǧlu, M & Kara, DB 2023, Park Vector Approach based Misalignment Detection Strategy for IMs. in 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings. 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 14th International Conference on Electrical and Electronics Engineering, ELECO 2023, Virtual, Bursa, Turkey, 30/11/23. https://doi.org/10.1109/ELECO60389.2023.10416077

Park Vector Approach based Misalignment Detection Strategy for IMs. / Kahraman, Ege; Ulusoy, Anil Erkut; Ozan Şerifoǧlu, Mehmet et al.
14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings).

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

TY - GEN

T1 - Park Vector Approach based Misalignment Detection Strategy for IMs

AU - Kahraman, Ege

AU - Ulusoy, Anil Erkut

AU - Ozan Şerifoǧlu, Mehmet

AU - Kara, Duygu Bayram

PY - 2023

Y1 - 2023

N2 - Tracking mechanical problems using current signal is a very promising area with the ease of data collection. For this aim, in this study, a misalignment detection strategy has been developed using Park Vector Approach (PVA). PVA is applied to healthy and misaligned induction motor's current signals during steady state and starting. It is noticed that the shape of Lissajou's curve is informative during steady-state operation. On the other hand, the thickness of curve is more descriptive during starting. As the proposed detection strategy, in the existence of these two factors, namely the shape defect in steady state and thicker curve structure in starting, the motor can be labeled as misaligned. Besides the proposed strategy, this study is a good example of PVA application to transient periods, in experimental basis. The study brings a unique contribution to the literature by the employment of transient data and combining two findings based on PVA.

AB - Tracking mechanical problems using current signal is a very promising area with the ease of data collection. For this aim, in this study, a misalignment detection strategy has been developed using Park Vector Approach (PVA). PVA is applied to healthy and misaligned induction motor's current signals during steady state and starting. It is noticed that the shape of Lissajou's curve is informative during steady-state operation. On the other hand, the thickness of curve is more descriptive during starting. As the proposed detection strategy, in the existence of these two factors, namely the shape defect in steady state and thicker curve structure in starting, the motor can be labeled as misaligned. Besides the proposed strategy, this study is a good example of PVA application to transient periods, in experimental basis. The study brings a unique contribution to the literature by the employment of transient data and combining two findings based on PVA.

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Kahraman E, Ulusoy AE, Ozan Şerifoǧlu M, Kara DB. Park Vector Approach based Misalignment Detection Strategy for IMs. In 14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (14th International Conference on Electrical and Electronics Engineering, ELECO 2023 - Proceedings). doi: 10.1109/ELECO60389.2023.10416077

Park Vector Approach based Misalignment Detection Strategy for IMs

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