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清华大学 [37]
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Parameter calibration of discrete element simulation for the interaction between heavy soil and soil-engaging components in shellfish culture
期刊论文
CANADIAN JOURNAL OF SOIL SCIENCE, 2023, 页码: 16
作者:
Huang, Bing
;
Pan, Hong
;
Wang, Xiao-Meng
;
Li, Yong-Ren
;
Zhang, Tao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/07
soil model
moisture content
accumulation angle test
EDEM discrete element model
simulation parameters
slope test
A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 15, 页码: 3817
作者:
Zhang HY(张昊越)
;
Xu P(徐鹏)
;
Ye ZQ(叶宗奇)
;
Ye, Dong
;
Qiang, Lie
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/09/05
satellite gravity
inertial sensor
accelerometer
calibration
gravitational wave detection
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift
期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan Jie
;
Liu Chengbao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
Deep Domain-Adversarial Anomaly Detection With One-Class Transfer Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 2, 页码: 524-546
作者:
Wentao Mao
;
Gangsheng Wang
;
Linlin Kou
;
Xihui Liang
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/01/16
Anomaly detection
domain adaptation
domain-adversarial training
one-class classification
transfer learning
A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 15, 页码: 3817
作者:
Zhang, Haoyue
;
Xu, Peng
;
Ye, Zongqi
;
Ye, Dong
;
Qiang, Li-E
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/12/07
LISA-PATHFINDER
GRACE
CHAMP
Blending Surface Segmentation and Editing for 3D Models
期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 8, 页码: 2879-2894
作者:
Zhang, Long
;
Guo, Jianwei
;
Xiao, Jun
;
Zhang, Xiaopeng
;
Yan, Dong-Ming
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/07/25
Three-dimensional displays
Solid modeling
Shape
Surface morphology
Clustering algorithms
Trajectory
Partitioning algorithms
Mesh segmentation
structure recovery
superfacets
rolling-ball blending surface
Markov random field
An intelligent diagnosis method of rolling bearing based on multi-scale residual shrinkage convolutional neural network
期刊论文
Measurement Science and Technology, 2022, 卷号: 33, 期号: 8
作者:
Zhao, Xiaoqiang
;
Zhang, Yazhou
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/20
Convolutional neural networks
Deep learning
Failure (mechanical)
Failure analysis
Fault detection
Roller bearings
Shrinkage
Bearing fault diagnosis
Convolutional neural network
Intelligent diagnosis methods
Multi-scale residual shrinkage convolutional neural network
Multi-scales
Noise environments
Rolling bearings
Separable convolution
Variable operating condition
Vibration signal
Evolution mechanisms of microstructure and mechanical properties in a friction stir welded ultrahigh-strength quenching and partitioning steel
期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2022, 卷号: 102, 页码: 213-223
作者:
Wang, Z. W.
;
Zhang, J. F.
;
Xie, G. M.
;
Wu, L. H.
;
Zhang, H.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/07/01
Ultrahigh-strength Q&
P steel
Friction stir welding
Microstructure
Mechanical property
Strain hardening
Design of piezoelectric device compatible with pavement considering traffic: Simulation, laboratory and on-site
期刊论文
APPLIED ENERGY, 2022, 卷号: 306
作者:
Yuan, Huazhi
;
Wang, Shuai
;
Wang, Chaohui
;
Song, Zhi
;
Li, Yanwei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2022/03/01
Energy harvesting
Piezoelectric device
Mechanical response
Electrical performance
On-site paving
Road-compatible
An Age-Dependent and State-Dependent Adaptive Prognostic Approach for Hidden Nonlinear Degrading System
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 907-921
作者:
Zhenan Pang
;
Xiaosheng Si
;
Changhua Hu
;
Zhengxin Zhang
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2022/04/24
Expectation-maximization (EM)
hidden degradation state
Kalman filter (KF)
remaining useful life (RUL)
unit-to-unit variability
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