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João G Neto1, Karla Figueiredo2, João B P Soares3
1Department of Chemical and Materials Engineering, Pontifical Catholic University of Rio de Janeiro, 225, Marquês de São Vicente Street, Gávea, Rio de Janeiro, RJ 22451-900, Brazil.
本研究介绍了一种使用罗神经网络和转移学习的新型故障检测框架. 该方法有效地解决了数据不平衡,并改善了正常和故障工业操作之间的区分.
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