Neural networks application for induction motor faults diagnosis
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DOI: 10.1016/S0378-4754(03)00087-9
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Cited by:
- Vikas Singh & Purushottam Gangsar & Rajkumar Porwal & A. Atulkar, 2023. "Artificial intelligence application in fault diagnostics of rotating industrial machines: a state-of-the-art review," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 931-960, March.
- Maciej Skowron & Teresa Orlowska-Kowalska & Marcin Wolkiewicz & Czeslaw T. Kowalski, 2020. "Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor," Energies, MDPI, vol. 13(6), pages 1-21, March.
- Maciej Skowron & Marcin Wolkiewicz & Teresa Orlowska-Kowalska & Czeslaw T. Kowalski, 2019. "Effectiveness of Selected Neural Network Structures Based on Axial Flux Analysis in Stator and Rotor Winding Incipient Fault Detection of Inverter-fed Induction Motors," Energies, MDPI, vol. 12(12), pages 1-20, June.
- Ana L. Martinez-Herrera & Edna R. Ferrucho-Alvarez & Luis M. Ledesma-Carrillo & Ruth I. Mata-Chavez & Misael Lopez-Ramirez & Eduardo Cabal-Yepez, 2022. "Multiple Fault Detection in Induction Motors through Homogeneity and Kurtosis Computation," Energies, MDPI, vol. 15(4), pages 1-11, February.
- Bouzid, M. & Champenois, G., 2013. "An efficient, simplified multiple-coupled circuit model of the induction motor aimed to simulate different types of stator faults," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 90(C), pages 98-115.
- Josue A. Reyes-Malanche & Efrain Ramirez-Velasco & Francisco J. Villalobos-Pina & Suresh K. Gadi, 2024. "Short-Circuit Fault Diagnosis on the Windings of Three-Phase Induction Motors through Phasor Analysis and Fuzzy Logic," Energies, MDPI, vol. 17(16), pages 1-14, August.
- Besma Bessam & Arezki Menacer & Mohamed Boumehraz & Hakima Cherif, 2017. "Wavelet transform and neural network techniques for inter-turn short circuit diagnosis and location in induction motor," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 478-488, January.
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Keywords
Induction motor faults; Neural networks; Monitoring; Diagnosis;All these keywords.
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