[1] |
ZHANG Yuyan, ZHANG Yongqi, SUN Chunya, WANG Haoqi, WEN Xiaoyu, QIAO Dongping, YAN Xinyu, LI Hao.
Identification method of cracking state of wind turbine blade based on GAN under imbalanced samples
[J]. Computer Integrated Manufacturing System, 2023, 29(2): 532-543.
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[2] |
LIU Yongming, YE Guowen, ZHAO Zhuanzhe, ZHANG Zhen.
Fault diagnosis model of RV reducer based on EEMD-PSO-ELM
[J]. Computer Integrated Manufacturing System, 2023, 29(1): 224-235.
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[3] |
SUN Shixu, HU Xiaofeng, XIA Mingyuan.
Semi-supervised incremental-learning method for tool breakage detection under variable operation conditions
[J]. Computer Integrated Manufacturing System, 2022, 28(9): 2805-2814.
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[4] |
CONG Ming, LU Changqi, LIU Dong, XIAO Qingyang, LI Rongdong.
Detection method for tiny defects in casting appearance based on Refine-ACTDD
[J]. Computer Integrated Manufacturing System, 2022, 28(9): 2815-2824.
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[5] |
GUO Junfeng, WANG Miaosheng, SUN Lei, XU Defeng.
New method of fault diagnosis for rolling bearing imbalance data set based on generative adversarial network
[J]. Computer Integrated Manufacturing System, 2022, 28(9): 2825-2835.
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[6] |
GONG Wenfeng, CHEN Hui, WANG Danwei.
Fast diagnosis method of incipient fault of marine machinery based on deep learning
[J]. Computer Integrated Manufacturing System, 2022, 28(9): 2852-2864.
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[7] |
ZHANG Zhao, LI Xinyu, GAO Liang.
Unsupervised fault diagnosis method based on domain adaptive neural network and joint distributed adaptive
[J]. Computer Integrated Manufacturing System, 2022, 28(8): 2365-2374.
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[8] |
LIU Li, PEI Xingzhi, LEI Xuemei.
Temporal convolutional attention network for remaining useful life estimation
[J]. Computer Integrated Manufacturing System, 2022, 28(8): 2375-2386.
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[9] |
CAO Zhenmiao, JI Weixi, SU Xuan, ZHANG Yun, WANG Kai.
Surface defect detection based on scaling cross-stage partial network
[J]. Computer Integrated Manufacturing System, 2022, 28(8): 2399-2407.
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[10] |
WU Jichun, FANG Haiguo, YANG Guangxing, FAN Dapeng.
6D Pose estimation and robotic arm grabbing based on minimum size points model
[J]. Computer Integrated Manufacturing System, 2022, 28(8): 2472-2480.
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[11] |
REN Lei, JIA Zidi, LAI Liyuanjun, ZHOU Longfei, ZHANG Lin, LI Bohu.
Data-driven industrial intelligence:Current status and future directions
[J]. Computer Integrated Manufacturing System, 2022, 28(7): 1913-1939.
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[12] |
GAO Shigen, ZHOU Min, ZHENG Wei, ZHANG Linxuan, ZHANG Bin, SONG Haifeng, WU Xingtang, LI Ni, WANG Kunyu.
Intelligent operation and maintenance for advanced equipment based on digital twin:Challenges and future
[J]. Computer Integrated Manufacturing System, 2022, 28(7): 1953-1965.
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[13] |
CHAI Li, REN Lei, GU Ke, CHEN Jiaxin, HUANG Bo, YE Qi, CAO Wei.
Vision sensing based intelligent detection of surface defect and its industrial applications
[J]. Computer Integrated Manufacturing System, 2022, 28(7): 1996-2004.
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[14] |
ZHANG Yunfeng, YANG Chunhua, Zhou Feiyue, HUANG Keke, GUI Weihua.
Causality diagram based fault isolation and propagation path identification method and application
[J]. Computer Integrated Manufacturing System, 2022, 28(7): 2017-2029.
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[15] |
WANG Yu, WANG Ting, SONG Chunhe, CUI Yong, WANG Huaizhen, ZHU Jingyang.
Deep learning codeless development platform for discrete manufacturing
[J]. Computer Integrated Manufacturing System, 2022, 28(7): 2091-2101.
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