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• W2898368657 abstract "This paper proposes a novel approach for simultaneous state estimation and broken rotor bars (BRBs) detection in induction motors. The proposed method is named square-root transformed cubature quadrature Kalman filter (SR-TCQKF). The accuracy of the filter has been improved by a transformation on the filter's sigma points, whereas the filter becomes more stable due to the use of the SR version of the covariance matrix. Accordingly, the SR-TCQKF is more accurate and stable than the standard cubature quadrature Kalman filter. The efficiency of the SR-TCQKF has been evaluated for speed estimation and BRB detection in induction motors. The attained results show the efficiency of the proposed approach." @default.
• W2898368657 created "2018-11-02" @default.
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• W2898368657 date "2019-06-01" @default.
• W2898368657 modified "2023-10-17" @default.
• W2898368657 title "Induction Motors Fault Detection Using Square-Root Transformed Cubature Quadrature Kalman Filter" @default.
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• W2898368657 doi "https://doi.org/10.1109/tec.2018.2877781" @default.
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