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Knowledge enhanced ensemble method for remaining useful life prediction under variable working conditions 期刊论文
RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 卷号: 242, 页码: 13
作者:  Li, Yuan;  Li, Jingwei;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/22
Remaining useful life  Ensemble learning  Attention mechanism  Convolutional neural network  Transfer learning  
Temporal Double Graph Convolutional Network for CO and CO2 Prediction in Blast Furnace Gas 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 13
作者:  Zhang, Tingkun;  Liu, Chengbao;  Liu, Zhenjie;  Tan, Jie;  Ahmat, Mutellip
收藏  |  浏览/下载：12/0  |  提交时间：2024/03/26
Blast furnace gas (BFG)  CO and CO2 content  graph convolutional network (GCN)  hypergraph convolutional network  prediction  
Adaptive Tracking Control of Robotic Manipulators With Unknown Kinematics and Uncertain Dynamics 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 18
作者:  Tong, Yuchuang;  Liu, Jinguo;  Zhou, Hao;  Ju, Zhaojie;  Zhang, Xin
收藏  |  浏览/下载：69/0  |  提交时间：2023/11/16
Trajectory tracking  adaptive control  robotic manipulators  unknown kinematics model  uncertain dynamics  
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
作者:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie;  Liu, Chengbao
收藏  |  浏览/下载：89/0  |  提交时间：2023/11/17
Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation  
PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:  Li, Zhikai;  Chen, Mengjuan;  Xiao, Junrui;  Gu, Qingyi
收藏  |  浏览/下载：48/0  |  提交时间：2023/11/17
Data-free quantization  model compression  patch similarity  quantized vision transformers (ViTs)  
Auditory Feature Driven Model Predictive Control for Sound Source Approaching 期刊论文
International Journal of Control, Automation, and Systems, 2023, 卷号: 22, 期号: 2, 页码: 1-14
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Wei;  Ma, Hongxuan;  Zhang, Chi;  Guo, Yuxin
Adobe PDF(7966Kb)  |  收藏  |  浏览/下载：176/50  |  提交时间：2023/06/20
Source approaching control, interaural time difference, robotic audition, sound source localization.  
Dual-Branch Learning With Prior Information for Surface Anomaly Detection 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 卷号: 72, 页码: 11
作者:  Wang, Shuyuan;  Lv, Chengkan;  Zhang, Zhengtao;  Wei, Xueyan
收藏  |  浏览/下载：93/0  |  提交时间：2023/11/16
Image reconstruction  Decoding  Anomaly detection  Training data  Feature extraction  Surface reconstruction  Training  anomaly escape  defect detection  dual-branch (DB) autoencoder (AE)  gated attention (GA)  overkill  
Practical Robotic Auditory Perception and Approaching Methods Based on Small-sized Microphone Array 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 页码: 1-16
作者:  Wang, Zhiqing;  Zou, Wei;  Zhang, Chi;  Kang, Zhaobing;  Zhu, Jiagang
Adobe PDF(9439Kb)  |  收藏  |  浏览/下载：220/26  |  提交时间：2022/06/10
Aural feature extraction  robotic audition  sound source localization  source approaching control  
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 卷号: 20, 期号: 1, 页码: 334-348
作者:  Zhang, Chi;  Zou, Wei;  Cheng, Ningbo;  Gao, Junshan
Adobe PDF(3031Kb)  |  收藏  |  浏览/下载：215/30  |  提交时间：2022/03/17
Fault-tolerant control (FTC)  integral sliding mode control (ISMC)  neural network (NN)  nonlinear control system  reinforcement learning (RL)  
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 21
作者:  Tao, Xian;  Gong, Xinyi;  Zhang, Xin;  Yan, Shaohua;  Adak, Chandranath
收藏  |  浏览/下载：228/0  |  提交时间：2022/09/19
Anomaly localization (AL)  deep learning  industrial inspection  literature survey  unsupervised learning