|
已选(0)清除
条数/页： 排序方式： |
| 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：142/46 | 提交时间：2021/09/03
Degradation process fault effects fault occurrence moment (FOM) performance characteristic (PC) remaining useful life (RUL) |
| A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者: Jun Tang; Gang Liu; Qingtao Pan
Adobe PDF(5712Kb) | 收藏 | 浏览/下载：119/28 | 提交时间：2021/09/03
Ant colony optimization (ACO) artificial bee colony (ABC) artificial fish swarm (AFS) bacterial foraging optimization (BFO) optimization particle swarm optimization (PSO) swarm intelligence |
| Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1465-1476
作者: Donglei Zheng; Le Zhou; Zhihuan Song
Adobe PDF(1388Kb) | 收藏 | 浏览/下载：147/58 | 提交时间：2021/06/11
Fault detection kernel method multi-rate process probability principal component analysis (PPCA) |
| Remaining Useful Life Prediction for a Roller in a Hot Strip Mill Based on Deep Recurrent Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1345-1354
作者: Ruihua Jiao; Kaixiang Peng; Jie Dong
Adobe PDF(1807Kb) | 收藏 | 浏览/下载：130/47 | 提交时间：2021/06/11
Hot strip mill prognostics and health management (PHM) recurrent neural network (RNN) remaining useful life (RUL) roller management |
| Towards Collaborative Robotics in Top View Surveillance: A Framework for Multiple Object Tracking by Detection Using Deep Learning 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1253-1270
作者: Imran Ahmed; Sadia Din; Gwanggil Jeon; Francesco Piccialli; Giancarlo Fortino
 Adobe PDF(69436Kb) | 收藏 | 浏览/下载：146/16 | 提交时间：2021/06/11
Collaborative robotics deep learning object detection and tracking top view video surveillance |
| A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1222-1242
作者: Ce Zhang; Azim Eskandarian
Adobe PDF(42044Kb) | 收藏 | 浏览/下载：201/56 | 提交时间：2021/06/11
Advanced driver assistance systems (ADAS) data analysis electroencephalography (EEG) intelligent vehicles machine learning algorithms neural network |
| Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1067-1078
作者: Jinpeng Li ; Yaling Tao; Ting Cai
Adobe PDF(915Kb) | 收藏 | 浏览/下载：118/19 | 提交时间：2021/04/09
Cancer prevention discriminative model generative model lung cancer machine learning |
| ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 1015-1024
作者: Xiurui Hou; Kai Wang; Cheng Zhong; Zhi Wei
Adobe PDF(18247Kb) | 收藏 | 浏览/下载：155/16 | 提交时间：2021/04/09
Graph convolution network long-short term memory network stock market forecasting variational autoencoder (VAE) |
| Energy Consumption Prediction of a CNC Machining Process With Incomplete Data 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 5, 页码: 987-1000
作者: Jian Pan; Congbo Li; Ying Tang; Wei Li; Xiaoou Li
Adobe PDF(2661Kb) | 收藏 | 浏览/下载：175/42 | 提交时间：2021/04/09
Energy consumption prediction incomplete data generative adversarial imputation nets (GAIN) gene expression programming (GEP) |
| 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：221/57 | 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 |
