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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2020     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Fault diagnosis method for wind turbine pitch system based on modified IMM 期刊论文 Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2020, 卷号: 46, 期号: 8, 页码: 1460-1468 作者:  Wang, Jinhua;  Zhu, Enchang;  Cao, Jie;  Yu, Ping 收藏  |  浏览/下载：2/0  |  提交时间：2020/11/14 Failure analysis  Probability  Wind turbines  Diagnostic accuracy  Error diagnosis  Fault diagnosis method  Gradient informations  Model probabilities  Model transition  Multi-fault diagnosis  Particle filter   Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks 期刊论文 International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54 作者:  Chang-Hao Zhu;  Jie Zhang 收藏  |  浏览/下载：16/0  |  提交时间：2021/02/22 Polymer melt index  soft sensor  deep learning  deep belief network (DBN)  unsupervised training.   Learning Adaptive Semi-Supervised Multi-Output Soft-Sensors with Co-Training of Heterogeneous Models 期刊论文 IEEE Access, 2020, 卷号: 8, 页码: 46493-46504 作者:  Li, Dong;  Huang DP(黄道平);  Yu GP(于广平);  Liu YQ(刘乙奇) 收藏  |  浏览/下载：12/0  |  提交时间：2020/04/11 Soft-sensors, semi-supervised  co-training, multi-output  recursive partial least square (RPLS)  long short-term memory recurrent neural network (LSTM)   Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN 期刊论文 Journal of Control Science and Engineering, 2020, 卷号: 2020 作者:  Osman, Yousuf Babiker M.;  Osman, Yousuf Babiker M.;  Li, Wei;  Li, Wei 收藏  |  浏览/下载：2/0  |  提交时间：2020/11/14 Biochemical oxygen demand  Deep learning  Effluent treatment  Effluents  Genetic algorithms  Gradient methods  Learning systems  Parameter estimation  Reclamation  Sewage treatment plants  Stochastic systems  Real time measurements  Secondary variables  Soft sensor models  Stochastic gradient descent  Strong correlation  Wastewater treatment plants  Wastewater treatment process  Weight parameters