中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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地质与地球物理研究... [25]
沈阳自动化研究所 [18]
青藏高原研究所 [14]
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期刊论文 [81]
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Fault Estimation for a Class of Markov Jump Piecewise-Affine Systems: Current Feedback Based Iterative Learning Approach
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 418-429
作者:
Yanzheng Zhu
;
Nuo Xu
;
Fen Wu
;
Xinkai Chen
;
Donghua Zhou
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2024/01/23
Current feedback
fault estimation
iterative learning observer
Markov jump piecewise-affine system
Early Miocene magmatism in the Baiyun Sag (South China Sea): A view to the origin of intense post-rift magmatism
期刊论文
OAI收割
GONDWANA RESEARCH, 2023, 卷号: 120, 页码: 127-144
作者:
Sun, Qiliang
;
Alves, Tiago M.
;
Wu, Shiguo
;
Zhao, Minghui
;
Xie, Xinong
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/10/07
Magmatism
Magma plumbing system
Listric boundary fault
Hainan Plume
South China Sea
Variation Enhanced Attacks Against RRAM-Based Neuromorphic Computing System
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2023, 卷号: 42, 期号: 5, 页码: 1588-1596
作者:
Lv, Hao
;
Li, Bing
;
Zhang, Lei
;
Liu, Cheng
;
Wang, Ying
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2023/12/04
Security
Hardware
Neuromorphic engineering
Computational modeling
Circuit faults
Resistance
Immune system
Adversarial attack
fault injection attack
neuromorphic computing system (NCS)
processing in memory
reliability
resistive memory
Research on fault diagnosis method for hydraulic system of CFETR blanket transfer device based on CNN-LSTM
期刊论文
OAI收割
FUSION ENGINEERING AND DESIGN, 2022, 卷号: 185
作者:
Guo, Xinpeng
;
Lu, Kun
;
Cheng, Yong
;
Zhao, Wenlong
;
Wu, Huapeng
  |  
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2022/12/23
CFETR
Hydraulic system
Fault simulation
Fault diagnosis
CNN-LSTM
SDG-based fault sample selection for telescope drive control system
会议论文
OAI收割
Montréal, Québec, Canada, 2022-8-25
作者:
Gu XJ(顾晓杰)
;
Yang SH(杨世海)
;
Li Y(李运)
;
Deng ZZ(邓壮壮)
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/03/22
telescope
control system
fault propagation
SDG
node importance
Fast actuator and sensor fault estimation based on adaptive unknown input observer
期刊论文
OAI收割
ISA Transactions, 2022, 页码: 1-19
作者:
Gao S(高升)
;
Ma GF(马广富)
;
Guo YN(郭延宁)
;
Zhang W(张伟)
  |  
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2022/02/19
Fault diagnosis
Fault estimation
Nonlinear system
Linear matrix inequality (LMI)
Fast adaptive unknown input observer (FAUIO)
Adaptive Fault-tolerant Control for Trajectory Tracking and Rectification of Directional Drilling
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:19/0
  |  
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)
A novel entropy-based fault diagnosis and inconsistency evaluation approach for lithium-ion battery energy storage systems
期刊论文
OAI收割
JOURNAL OF ENERGY STORAGE, 2021, 卷号: 41, 页码: 20
作者:
Qiu, Yishu
;
Cao, Wenjiong
;
Peng, Peng
;
Jiang, Fangming
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/10/27
Lithium-ion battery
Energy storage system
Shannon entropy
Internal short circuit
Fault diagnosis
Inconsistency evaluation
Fluid geochemistry and its implications on the role of deep faults in the genesis of high temperature systems in the eastern edge of the Qinghai Tibet Plateau
期刊论文
OAI收割
APPLIED GEOCHEMISTRY, 2021, 卷号: 131, 页码: 13
作者:
Tian, Jiao
;
Pang, Zhonghe
;
Liao, Dawei
;
Zhou, Xiaocheng
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/10/20
Qinghai-tibet plateau
Longmenshan fault
Xianshuihe fault
High-temperature geothermal system
Geothermal fluid
System Performance and Empathetic Design Enhance User Experience for Fault Diagnosis Expert System
会议论文
OAI收割
Virtual Event, July 24–29, 2021
作者:
Li Lin
;
Xiaoyue Pang
;
Jingyu Zhang
;
Xianghong Sun
;
Liang Zhang
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/06/15
System performance
Empathetic design
User experience
User trust
Fault diagnosis
Expert system