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A fuzzy neural network based on-line turn fault detection approach for induction motors is proposed in this paper. B-spline membership fuzzy neural network is employed to detect turn fault, since the selection of the weighting factors, the knot positions and the control points of the B-spline membership fuzzy-neural networks is crucial to obtaining good approximation for complex nonlinear systems,...
A fuzzy model based on-line turn fault detection approach for induction motors is presented in this paper. Two T-S fuzzy models are employed to detect turn fault, one is used to estimate the fault severity, the other is used to determine the exact number of fault turns. During fuzzy modeling, a fuzzy clustering algorithm based on similarity assessing is proposed to determine the optimal structure...
A fuzzy model based on-line turn fault detection approach for induction motors is presented in this paper. Two T-S fuzzy models are employed to detect turn fault, one is used to estimate the fault severity, the other is used to determine the exact number of fault turns. During fuzzy modeling, a fuzzy clustering algorithm based on similarity assessing is proposed to determine the optimal structure...
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