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Keyword Term: induction motor drive

1 to 8 of 8 Results

DatasetResearch on the modified Extended Luenberger Observer for current sensor fault-tolerant control of the induction motor drive Feb 28, 2025 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Adamczyk, Michał; Miniach, Magdalena, 2025, "Research on the modified Extended Luenberger Observer for current sensor fault-tolerant control of the induction motor drive", https://doi.org/10.18150/IIZYUE, RepOD, V1
DatasetResearch on the application of the modified Luenberger observer extended with simultaneous estimation of both winding resistances of the IM for detection and compensation of different CS failures. Feb 27, 2025 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Adamczyk, Michał; Miniach, Magdalena, 2025, "Research on the application of the modified Luenberger observer extended with simultaneous estimation of both winding resistances of the IM for detection and compensation of different CS failures.", https://doi.org/10.18150/29CG3Q, RepOD, V1
DatasetResearch on the impact of PWM strategy on current estimation quality in the induction motor drive Feb 27, 2025 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Teler, Krystian; Adamczyk, Michal, 2025, "Research on the impact of PWM strategy on current estimation quality in the induction motor drive", https://doi.org/10.18150/CUJZRG, RepOD, V1
DatasetResearch on the application of the extended Kalman filter (EKF) in vector-controlled induction motor drive, designed to ensure tolerance against various types of current sensor (CS) faults Feb 21, 2025 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Miniach, Magdalena, 2025, "Research on the application of the extended Kalman filter (EKF) in vector-controlled induction motor drive, designed to ensure tolerance against various types of current sensor (CS) faults", https://doi.org/10.18150/Y8MEUW, RepOD, V1
DatasetImpact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives Feb 15, 2024 - DataverseWrocław University of Science and Technology Skowron, Maciej, 2024, "Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives", https://doi.org/10.18150/CPOAEQ, RepOD, V1
DatasetResearch on on-line current sensor fault classification using shallow neural networks Nov 10, 2023 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on on-line current sensor fault classification using shallow neural networks", https://doi.org/10.18150/1NPH3S, RepOD, V1
DatasetResearch on current sensor fault classification using multilayer perceptron neural network Nov 10, 2023 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on current sensor fault classification using multilayer perceptron neural network", https://doi.org/10.18150/FCOMZI, RepOD, V1
DatasetResearch on fault-tolerant control of induction motor drive with improved virtual current sensor (VCS) and neural network-based estimation of rotor resistance Nov 10, 2023 - DataverseWrocław University of Science and Technology Orłowska-Kowalska, Teresa; Adamczyk, Michał, 2023, "Research on fault-tolerant control of induction motor drive with improved virtual current sensor (VCS) and neural network-based estimation of rotor resistance", https://doi.org/10.18150/FS8CKQ, RepOD, V1

Research on the modified Extended Luenberger Observer for current sensor fault-tolerant control of the induction motor drive

Feb 28, 2025 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Adamczyk, Michał; Miniach, Magdalena, 2025, "Research on the modified Extended Luenberger Observer for current sensor fault-tolerant control of the induction motor drive", https://doi.org/10.18150/IIZYUE, RepOD, V1

Research on the application of the modified Luenberger observer extended with simultaneous estimation of both winding resistances of the IM for detection and compensation of different CS failures.

Feb 27, 2025 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Adamczyk, Michał; Miniach, Magdalena, 2025, "Research on the application of the modified Luenberger observer extended with simultaneous estimation of both winding resistances of the IM for detection and compensation of different CS failures.", https://doi.org/10.18150/29CG3Q, RepOD, V1

Research on the impact of PWM strategy on current estimation quality in the induction motor drive

Feb 27, 2025 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Teler, Krystian; Adamczyk, Michal, 2025, "Research on the impact of PWM strategy on current estimation quality in the induction motor drive", https://doi.org/10.18150/CUJZRG, RepOD, V1

Research on the application of the extended Kalman filter (EKF) in vector-controlled induction motor drive, designed to ensure tolerance against various types of current sensor (CS) faults

Feb 21, 2025 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Miniach, Magdalena, 2025, "Research on the application of the extended Kalman filter (EKF) in vector-controlled induction motor drive, designed to ensure tolerance against various types of current sensor (CS) faults", https://doi.org/10.18150/Y8MEUW, RepOD, V1

Thumbnail of dataset Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives

Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives

Feb 15, 2024 - Wrocław University of Science and Technology

Skowron, Maciej, 2024, "Impact of the convolutional neural network structure and training parameters on the effectiveness of the diagnostic systems of modern AC motor drives", https://doi.org/10.18150/CPOAEQ, RepOD, V1

Research on on-line current sensor fault classification using shallow neural networks

Nov 10, 2023 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on on-line current sensor fault classification using shallow neural networks", https://doi.org/10.18150/1NPH3S, RepOD, V1

Research on current sensor fault classification using multilayer perceptron neural network

Nov 10, 2023 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Skowron, Maciej; Adamczyk, Michał; Teler, Krystian, 2023, "Research on current sensor fault classification using multilayer perceptron neural network", https://doi.org/10.18150/FCOMZI, RepOD, V1

Research on fault-tolerant control of induction motor drive with improved virtual current sensor (VCS) and neural network-based estimation of rotor resistance

Nov 10, 2023 - Wrocław University of Science and Technology

Orłowska-Kowalska, Teresa; Adamczyk, Michał, 2023, "Research on fault-tolerant control of induction motor drive with improved virtual current sensor (VCS) and neural network-based estimation of rotor resistance", https://doi.org/10.18150/FS8CKQ, RepOD, V1

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