2012 XXth International Conference on Electrical Machines 2012
DOI: 10.1109/icelmach.2012.6350274
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A winding function-based model of air-gap eccentricity in saturated induction motors

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Cited by 15 publications
(22 citation statements)
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“…Due to the saturation, the magnetic reluctance of the core increases, and could break a basic assumption of WFA, that is negligible reluctance of the core. A solution has been offered in [20]- [23], which permit the core reluctance to be zero but takes its effect into account by proper increase of the air gap length. Assuming that R i is the equivalent reluctance of the tooth i, then…”
Section: Adding Teeth Reluctance Impactmentioning
confidence: 99%
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“…Due to the saturation, the magnetic reluctance of the core increases, and could break a basic assumption of WFA, that is negligible reluctance of the core. A solution has been offered in [20]- [23], which permit the core reluctance to be zero but takes its effect into account by proper increase of the air gap length. Assuming that R i is the equivalent reluctance of the tooth i, then…”
Section: Adding Teeth Reluctance Impactmentioning
confidence: 99%
“…Also, a method for extending the work of [21] to eccentric SCIMs has been intended in [22]. A method for modeling SCIM with static eccentricity by including magnetic saturation effect has been proposed in [23], which permits variable saturation factor. As magnetic saturation essentially occurs within the teeth, individual tooth saturation is estimated and included in the modeling and simulation process in this paper.…”
Section: Introductionmentioning
confidence: 99%
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“…Different eccentricities in induction machines were documented previously [7,8,[13][14][15][16][17][18]. In reality, the most probable case is the inclined air gap eccentricity or rotor misalignment fault.…”
Section: Introductionmentioning
confidence: 86%
“…Mean radius function depends on the geometry of the air gap. In many studies, this function has been considered to be constant [7,8,[13][14][15][16][17][18][19][20][21][22]. Fig.…”
Section: Mixed Misalignment Modelingmentioning
confidence: 99%