Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/153657
Title: High-resistance connection diagnosis in five-phase pmsms based on the method of magnetic field pendulous oscillation and symmetrical components
Authors: Hao, Chen
He, Jiangbiao
Guan, Xing
Demerdash, Nabeel A. O.
El-Refaie, Ayman M.
Lee, Christopher Ho Tin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Source: Hao, C., He, J., Guan, X., Demerdash, N. A. O., El-Refaie, A. M. & Lee, C. H. T. (2022). High-resistance connection diagnosis in five-phase pmsms based on the method of magnetic field pendulous oscillation and symmetrical components. IEEE Transactions On Industrial Electronics, 69(3), 2288-2299. https://dx.doi.org/10.1109/TIE.2021.3065617
Project: 04INS000705C140
Journal: IEEE Transactions on Industrial Electronics
Abstract: An on-line approach for diagnosing high-resistance connection (HRC) faults in five-phase permanent magnet synchronous motor (PMSM) drives is presented in this paper. The development of this approach is based on a so-called magnetic field pendulous oscillation (MFPO) technique and symmetrical components method. Under HRC fault condition, a 'swing-like MFPO phenomenon is observed compared to the healthy condition. Furthermore, with the extracted current features in symmetrical components domain, different HRC fault types are successfully identified and distinguished. These fault types include (i) single-phase faults, e.g., HRC fault in phase-A, (ii) two-phase non-adjacent faults, e.g., HRC fault in phase-A&C, and (iii) two-phase adjacent faults, e.g., HRC fault in phase-A&B. Meanwhile, the localization of the faulty phase/phases is also accomplished, and the fault severity is estimated. In this approach, only sensing of the phase currents is needed. Hence, the implementation cost is very low, since the sensory data of the currents are typically already available in the closed-loop vector-controlled drives for control purpose and no additional sensors or related signal conditioning circuits are required. The effectiveness of the presented diagnostic approach is verified by simulations and experimental results.
URI: https://hdl.handle.net/10356/153657
ISSN: 0278-0046
DOI: 10.1109/TIE.2021.3065617
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIE.2021.3065617.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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