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A new method for early fault detection and diagnosis of broken rotor bars

, , and . Energy Conversion and Management, 52 (4): 1790 - 1799 (2011)
DOI: http://dx.doi.org/10.1016/j.enconman.2010.11.018

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Artificial immune classifier with swarm learning, , and . Engineering Applications of Artificial Intelligence, 23 (8): 1291 - 1302 (2010)A new method for early fault detection and diagnosis of broken rotor bars, , and . Energy Conversion and Management, 52 (4): 1790 - 1799 (2011)Sentiment classification based on deep learning., and . SIU, page 1-4. IEEE, (2018)A New Experimental Approach Using Image Processing-Based Tracking for an Efficient Fault Diagnosis in Pantograph-Catenary Systems., , , , and . IEEE Trans. Ind. Informatics, 13 (2): 635-643 (2017)Gerçek zamanlı durum izleme ve arıza teşhisi için bağışık akıllı hesaplama tekniklerinin geliştirilmesi (Development of immune intelligent computing techniques for real-time condition monitoring and fault diagnosis). Fırat University, Turkey, (2011)Particle swarm based arc detection on time series in pantograph-catenary system., , , and . INISTA, page 344-349. IEEE, (2014)Fine-Tuning Convolutional Neural Network Based Railway Damage Detection., , and . EUROCON, page 216-221. IEEE, (2021)Generation of classification rules using artificial immune system for fault diagnosis., , and . SMC, page 343-349. IEEE, (2010)A new approach based on boundary analysis of reconstructed phase space for fault diagnosis., , and . ASCC, page 1-6. IEEE, (2013)A new real-time fuzzy logic based diagnosis of stator faults for inverter-fed induction motor under low speeds., , and . INDIN, page 446-451. IEEE, (2016)