Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of Induction Motors
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28073-3_16
Reference26 articles.
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3. Choudhary, A., Goyal, D., Shimi, S.L., Akula, A.: Condition monitoring and fault diagnosis of induction motors: a review. Arch. Comput. Methods Eng. 26(4), 1221–1238 (2018). https://doi.org/10.1007/s11831-018-9286-z
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5. Sugumaran, V., Ramachandran, K.I.: Effect of number of features on classification of roller bearing faults using SVM and PSVM. Expert Syst. Appl. 38(4), 4088–4096 (2011). https://doi.org/10.1016/j.eswa.2010.09.072
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