Electrical Fault Classification Based on Machine Learning and Deep Learning From Marketing Perspective
Author:
Affiliation:
1. Internet Department, State Grid Jiangsu Marketing Service Center, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3671151.3671320
Reference15 articles.
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3. Bouthiba T. 2004. Fault location in EHV transmission lines using artificial neural networks. Int J Appl Math Comput Sci14(1):69–78
4. Venkatesan R Balamurugan B. 2007. A real-time hardware fault detector using an artificial neural network for distance protection. IEEE Trans Power Deliv 16(1):75–82
5. Lin W-M Yang C-D Lin J-H Tsay M-T. 2001. A fault classification method by RBF neural network with OLS learning procedure. IEEE Trans Power Del 16(4):473–477
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