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Augmented Industrial Data-Driven Modeling Under the Curse of Dimensionality 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1445-1461
作者:  Xiaoyu Jiang;  Xiangyin Kong;  Zhiqiang Ge
收藏  |  浏览/下载：8/0  |  提交时间：2023/05/29
A support vector machine framework for fault detection in molecular pump 期刊论文
JOURNAL OF NUCLEAR SCIENCE AND TECHNOLOGY, 2022
作者:  Yuan, X. L.;  Kai, J.;  Chen, Y.;  Zuo, G. Z.;  Zhuang, H. D.
收藏  |  浏览/下载：12/0  |  提交时间：2022/12/23
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
收藏  |  浏览/下载：17/0  |  提交时间：2022/06/06
Intelligent Fault Diagnosis for Bearings of Industrial Robot Joints under Varying Working Conditions Based on Deep Adversarial Domain Adaptation 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71, 页码: 1-13
作者:  Xia BJ(夏冰洁);  Wang K(王锴);  Xu AD(徐皑冬);  Zeng P(曾鹏);  Yang N(杨楠)
收藏  |  浏览/下载：23/0  |  提交时间：2022/03/31
A Quality-Related Fault Detection Method Based on the Dynamic Data-Driven Algorithm for Industrial Systems 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 页码: 1-11
作者:  Sun, Cheng-Yuan;  Yin, Yi-Zhen;  Kang HB(康浩博);  Ma HJ(马宏军)
收藏  |  浏览/下载：11/0  |  提交时间：2022/01/20
A data-driven adaptive fault diagnosis methodology for nuclear power systems based on NSGAII-CNN 期刊论文
ANNALS OF NUCLEAR ENERGY, 2021, 卷号: 159
作者:  He, Chen;  Ge, Daochuan;  Yang, Minghan;  Yong, Nuo;  Wang, Jianye
收藏  |  浏览/下载：45/0  |  提交时间：2021/08/31
Bearing Defect Detection with Unsupervised Neural Networks 期刊论文
SHOCK AND VIBRATION, 2021, 卷号: 2021
作者:  Xu, Jianqiao;  Zuo, Zhaolu;  Wu, Danchao;  Li, Bing;  Li, Xiaoni
收藏  |  浏览/下载：14/0  |  提交时间：2021/11/01
A New Method of Fault Detection and Diagnosis for the Tennessee Eastman Process 会议论文
山西太原, 2021年7月30日-8月1日
作者:  Zhang PB(张鹏彬);  Zou T(邹涛);  Wang JY(王景杨);  Yang ZJ(杨志家)
收藏  |  浏览/下载：6/0  |  提交时间：2022/01/27
A Fast and Energy-Saving Neural Network Inference Method for Fault Diagnosis of Industrial Equipment Based on Edge-End Collaboration 会议论文
Jiaxing, China, July 27-31, 2021
作者:  Wang QZ(王其朝);  Jin GS(金光淑);  Li Q(李庆);  Wang K(王锴);  Yang ZY(杨祖业)
收藏  |  浏览/下载：9/0  |  提交时间：2021/12/05
Fault Diagnosis Based on RseNet-LSTM for Industrial Process 会议论文
Chongqing, China, March 12-14, 2021
作者:  Yao, Peifu;  Yang SJ(阳少杰);  Li P(里鹏)
收藏  |  浏览/下载：4/0  |  提交时间：2021/05/10

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