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Induction motor faults diagnosis using support vector machine to the motor current signature.

, and . ICPS, page 417-421. IEEE, (2018)

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Hybrid 1D CNN-RNN Network for Fault Diagnosis in Induction Motors Using Electrical Signals., , and . ICSSE, page 212-217. IEEE, (2023)MMG data.. (May 2022)Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals., , and . Eng. Appl. Artif. Intell., (2024)Experimental Setup for Online Fault Diagnosis of Induction Machines via Promising IoT and Machine Learning: Towards Industry 4.0 Empowerment., , , , , and . IEEE Access, (2021)Content-aware malicious webpage detection using convolutional neural network., , , and . Multim. Tools Appl., 83 (3): 8145-8163 (January 2024)Hemobarogram subwave component pulse signal identification., , , and . SII, page 803-808. IEEE, (2016)ChemGenerator: a web server for generating potential ligands for specific targets., , , , , , and . Briefings Bioinform., (2021)Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors., , , and . IEEE Trans. Instrum. Meas., (2022)Lifetime Prediction for Bearings in Induction Motor., , , and . ICPS, page 467-471. IEEE, (2019)Induction motor faults diagnosis using support vector machine to the motor current signature., and . ICPS, page 417-421. IEEE, (2018)