Analysis of temperature field for a surface-mounted and interior permanent magnet synchronous motor adopting magnetic-thermal coupling method

Si, Jikai; Zhao, Suzhen; Feng, Haichao; Hu, Yihua; Cao, Wenping

doi:10.23919/tems.2018.8326464

Cited by 31 publications

(14 citation statements)

References 6 publications

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“…First, the fault sample database of the single pole demagnetization fault sample database is established. Second, any coil is designated as the detecting coil of the motor to be diagnosed, and the single-coil no-load back EMF residual (e residual ) is obtained by the Equation (5). Then, demagnetization fault detection is realized by the amplitudes of e residual , and the number of demagnetization fault magnetic poles is determined by comparing the e residual energy.…”

Section: The Methods Of Demagnetization Fault Diagnosismentioning

confidence: 99%

“…Finally, the degree of demagnetization is evaluated according to the amplitudes of e residual . e residual = e health − e c (5) where e health is the single-coil no-load back EMF under the healthy state, e c is the single-coil no-load back EMF obtained in real time.…”

Section: The Methods Of Demagnetization Fault Diagnosismentioning

confidence: 99%

“…Bearing fault include outer race, inner race, and ball bearing fault. Permanent magnets are subjected to local demagnetization fault or uniform demagnetization fault because of the combined effects of armature reaction, the operating temperature rise and brittleness of sintered rare earth permanent magnet material [3][4][5]. When the permanent magnet has an irreversible demagnetization fault, the motor seriously heats up and the overload capacity will decline, thereby leading to performance degradation.…”

Section: Introductionmentioning

confidence: 99%

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Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

Gao

Nie

et al. 2019

Energies

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This paper proposes a demagnetization fault detection, mode recognition, magnetic pole positioning, and degree evaluation method for permanent magnet synchronous motors. First, the analytical model of the single-coil no-load back electromotive force (EMF) of demagnetization fault for Permanent magnet synchronous motor (PMSM) arbitrary magnetic poles is established. In the analytical model, the single-coil no-load back EMF residual of the health state and the single magnetic pole sequential demagnetization fault are calculated and normalized. Model results are used as the fault sample database. Second, the energy interval database of the single-coil no-load back EMF residual with different numbers of magnetic pole demagnetization is established. Demagnetization fault detection and degree evaluation are performed by the real-time acquired amplitudes of the single-coil no-load back EMF residual. The number of demagnetization poles is determined by comparing the energy of the single-coil no-load back EMF residual with the energy interval database. Demagnetization mode recognition and magnetic pole positioning are realized by analyzing the correlation coefficients between normalized the single-coil no-load back EMF residual and the fault sample database. Finally, results of analysis of the finite element simulation validate the feasibility and effectiveness of the proposed method.

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Section: The Methods Of Demagnetization Fault Diagnosismentioning

confidence: 99%

Section: The Methods Of Demagnetization Fault Diagnosismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

Gao

Nie

et al. 2019

Energies

Self Cite

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“…The maximum torque is determined by several variables: the iron core thickness, PM thickness, inner and outer radii of the magnets, and number of PM poles [6,7]. Parametric analysis was performed to obtain the design points where the PMC can have the maximum torque value at the fixed limit of the PM outer radius and core thickness.…”

Section: Parametric Analysis For Optimal Designmentioning

confidence: 99%

Design of Axial Flux Type Permanent Magnet Coupling with Halbach Magnet Array for Optimal Performance Considering Eddy Current Loss Reduction Using 3-D Finite Element Method

Jang¹,

Seo²,

Kim³

et al. 2018

IJET

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Background/Objectives: This study proposes and verifies a design method that considers the permanent magnet (PM) loss reduction of axial flux permanent magnet coupling (PMC), to replace mechanical coupling.Methods/Statistical analysis: In this study, the design of an axial magnetic flux PMC is performed using a three–dimensional (3D) commercial finite element (FEM) analysis program, and an optimum design is performed through parametric analysis. In addition, we designed a PMC that minimizes loss by analyzing the PM eddy current loss when using divided magnets.Findings: We found that some parameters (thickness of the PM, number of poles, ratio of inner radius to outer radius) act on the magnetic torque of the axial flux coupling. Using these results, we could obtain the design point. Further, to reduce the PM eddy current loss in the designed coupling, we used the PMs divided radially and circumferentially to obtain the magnet shape to minimize the loss. In addition, the fabricated coupling proved that the design results of the 3D FEM matched with the experimental results.Improvements/Applications: We propose an optimal design method of an axial flux PMC using 3D FEM, and a method to reduce eddy current loss using divided magnets

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“…Rotor faults include eccentric and demagnetization faults. In addition, due to the permanent magnets that are used, the fragility and magnetization effect of the magnets decrease depending on the time and operating conditions [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

An Effective Method for Detection of Demagnetization Fault in Axial Flux Coreless PMSG With Texture-Based Analysis

Mi̇naz

Akcan

2021

IEEE Access

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Due to its high power densities and compact dimensions, the axial flux coreless permanent magnet synchronous generator (PMSG) is used in a wide range of areas such as wind turbines and electric vehicles. It is extremely important to detect magnetization faults that occur in these generators. The occurrence of such faults in these machines with a wide range of areas of use affects their operation negatively. In this study, an effective method has been proposed to detect the demagnetization fault occurring in axial flux coreless PMSGs. The relevant method proposes an effective texture analysis-based feature extraction method, which is an original method in contrast to conventional methods used in the literature. It has been revealed that it is a method that can be used instead of conventional methods such as time-frequency analysis, frequency spectrum analysis, and motor current signature analysis (MCSA) methods. Using the finite element method, current and voltage signals were taken from the healthy and axial flux coreless PMSG with 3% and 6% demagnetization fault. Besides, these signals were retaken at different speeds and loads. After the signals were converted into images, using the features obtained from the images with LBP, fault diagnosis processes were carried out with Knn. It was tested both at different fault rates and under different load and speed conditions to test whether the proposed method worked properly. The success rate of this method was observed as 97.16% and 100%. With the proposed method, it has been revealed that the demagnetization fault can be detected in axial flux coreless PMSGs.INDEX TERMS Image texture analysis, demagnetization, fault detection, permanent magnet machines.

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Analysis of temperature field for a surface-mounted and interior permanent magnet synchronous motor adopting magnetic-thermal coupling method

Cited by 31 publications

References 6 publications

Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

Mode Recognition and Fault Positioning of Permanent Magnet Demagnetization for PMSM

Design of Axial Flux Type Permanent Magnet Coupling with Halbach Magnet Array for Optimal Performance Considering Eddy Current Loss Reduction Using 3-D Finite Element Method

An Effective Method for Detection of Demagnetization Fault in Axial Flux Coreless PMSG With Texture-Based Analysis

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