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| A Novel Product Remaining Useful Life Prediction Approach Considering Fault Effects 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 11, 页码: 1762-1773 作者: Jingdong Lin; Zheng Lin; Guobo Liao; Hongpeng Yin Adobe PDF(1378Kb)  |  收藏  |  浏览/下载:144/47  |  提交时间:2021/09/03 Degradation process fault effects fault occurrence moment (FOM) performance characteristic (PC) remaining useful life (RUL) |
| Variational Gridded Graph Convolution Network for Node Classification 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1697-1708 作者: Xiaobin Hong; Tong Zhang; Zhen Cui; Jian Yang Adobe PDF(2419Kb)  |  收藏  |  浏览/下载:126/39  |  提交时间:2021/09/03 Graph coarsening gridding node classification random walk variational convolution |
| Orientation Field Code Hashing: A Novel Method for Fast Palmprint Identification 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1038-1051 作者: Xi Chen; Ming Yu; Feng Yue; Bin Li Adobe PDF(9258Kb)  |  收藏  |  浏览/下载:178/21  |  提交时间:2021/04/09 Biometric system hashing orientation feature palmprint identification |
| Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1025-1037 作者: Chengcai Leng; Hai Zhang; Guorong Cai; Zhen Chen; Anup Basu Adobe PDF(1933Kb)  |  收藏  |  浏览/下载:248/81  |  提交时间:2021/04/09 Data clustering dimension reduction image registration non-negative matrix factorization (NMF) total variation (TV) |
| Neural-Network-Based Control for Discrete-Time Nonlinear Systems with Input Saturation Under Stochastic Communication Protocol 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 4, 页码: 766-778 作者: Xueli Wang; Derui Ding; Hongli Dong; Xian-Ming Zhang Adobe PDF(1995Kb)  |  收藏  |  浏览/下载:200/42  |  提交时间:2021/04/09 Adaptive dynamic programming (ADP) constrained inputs neural network (NN) stochastic communication protocols (SCPs) suboptimal control |
| Deep Learning in Sheet Metal Bending With a Novel Theory-Guided Deep Neural Network 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 565-581 作者: Shiming Liu; Yifan Xia; Zhusheng Shi; Hui Yu; Zhiqiang Li; Jianguo Lin Adobe PDF(6784Kb)  |  收藏  |  浏览/下载:225/58  |  提交时间:2021/04/09 Data-driven deep learning deep learning deep neural network (DNN) intelligent manufacturing machine learning sheet metal forming springback theory-guided deep learning theory-guided regularization |
| A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 2, 页码: 412-422 作者: Chuang Chen; Ningyun Lu; Bin Jiang; Cunsong Wang Adobe PDF(1855Kb)  |  收藏  |  浏览/下载:163/56  |  提交时间:2021/04/09 Long short-term memory (LSTM) network predictive maintenance remaining useful life (RUL) estimation risk-averse adaptation support vector regression (SVR) |
| On Performance Gauge of Average Multi-Cue Multi-Choice Decision Making: A Converse Lyapunov Approach 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 136-147 作者: Mehdi Firouznia; Qing Hui Adobe PDF(1472Kb)  |  收藏  |  浏览/下载:118/31  |  提交时间:2021/04/09 Cognitive modeling decision making Lyapunov function multi-cue multi-choice tasks performance gauge |
| Dust Distribution Study at the Blast Furnace Top Based on k-Sε-up Model 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 121-135 作者: Zhipeng Chen; Zhaohui Jiang; Chunjie Yang; Weihua Gui; Youxian Sun Adobe PDF(40578Kb)  |  收藏  |  浏览/下载:141/19  |  提交时间:2021/04/09 Blast furnace (BF) dust movement interphase interaction modeling theory turbulent flow two-scale direct interaction approximation (TSDIA) |
| A Multi-Layered Gravitational Search Algorithm for Function Optimization and Real-World Problems 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 1, 页码: 94-109 作者: Yirui Wang; Shangce Gao; Mengchu Zhou; Yang Yu Adobe PDF(1938Kb)  |  收藏  |  浏览/下载:259/48  |  提交时间:2021/04/09 Artificial intelligence exploration and exploitation gravitational search algorithm hierarchical interaction hierarchy machine learning population structure |