2021
DOI: 10.1109/access.2021.3050418
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An Effective Method for Detection of Demagnetization Fault in Axial Flux Coreless PMSG With Texture-Based Analysis

Abstract: 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 ax… Show more

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Cited by 15 publications
(9 citation statements)
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“…Similarly, the authors of [207] used machine learning based on the simulation model results, to detect demagnetization faults. The resulting voltage and current signals delivered from the simulation model for different load torque and speed values allowed to build an effective diagnostic method.…”
Section: Pmsm Models In Diagnosticsmentioning
confidence: 99%
“…Similarly, the authors of [207] used machine learning based on the simulation model results, to detect demagnetization faults. The resulting voltage and current signals delivered from the simulation model for different load torque and speed values allowed to build an effective diagnostic method.…”
Section: Pmsm Models In Diagnosticsmentioning
confidence: 99%
“…A method for demagnetisation fault detection and analysis was presented in Ref. [106,107] using a coreless MSMR AFPM topology. In Ref.…”
Section: Multi-stator Multi-rotor (Msmr)mentioning
confidence: 99%
“…By substituting Equation (10) into Equation (8), a new current prediction equation under PM demagnetization fault is obtained:…”
Section: ) Assign the Acting Time Of Two Voltage Vectorsmentioning
confidence: 99%
“…To avoid the occurrence of demagnetization faults, some scholars optimized the motor structure [8][9][10][11][12]. However, the cost of changing the motor structure is too high, so online detection [13][14][15] and fault-tolerant control [16,17] are more promising research directions.…”
Section: Introductionmentioning
confidence: 99%