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自动化研究所 [17]
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期刊论文 [12]
会议论文 [8]
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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
收藏
|
浏览/下载：2/0
|
提交时间：2023/11/17
Intelligent diagnosis
Rotating machinery
Label propagation
Subpopulation shift
Unsupervised domain adaptation
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
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|
浏览/下载：5/0
|
提交时间：2023/06/19
Remaining useful life
Uncertainty quantification
Bayesian convolutional neural network
Lithium-Ion Power Battery Grouping: A Multisource Data Fusion-Based Clustering Approach and Distributed Deployment
期刊论文
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2022, 卷号: 19, 期号: 2, 页码: 12
作者:
Wang, Yudong
;
Bai, Xiwei
;
Liu, Chengbao
;
Tan, Jie
收藏
|
浏览/下载：17/0
|
提交时间：2022/06/10
analysis and design of components
devices
and systems
batteries
electrochemical storage
reliability
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
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|
浏览/下载：17/0
|
提交时间：2022/06/06
Fault diagnosis
Data models
Task analysis
Representation learning
Adaptation models
Training data
Training
Convolutional neural network (CNN)
data-driven fault diagnosis
domain generalization (DG)
model-agnostic learning
rolling bearing
Uncertainty quantification of bearing remaining useful life based on convolutional neural network
会议论文
Canberra, Australia, 2020-12
作者:
Wang Huanjie
;
Bai Xiwei
;
Tan, Jie
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|
浏览/下载：1/0
|
提交时间：2023/05/31
Deep prototypical networks based domain adaptation for fault diagnosis
期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:
Wang, Huanjie
;
Bai, Xiwei
;
Tan, Jie
;
Yang, Jiechao
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|
浏览/下载：14/0
|
提交时间：2021/01/06
Bearing
Fault diagnosis
Domain adaptation
Prototype learning
Online estimation of voltage stability margin via deep neural network with consideration of the local structures in power grid
期刊论文
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 页码: 17
作者:
Bai, Xiwei
;
Tan, Jie
;
Ma, Shiying
;
Liu, Daowei
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|
浏览/下载：8/0
|
提交时间：2021/01/07
deep neural network
grid topology
local structures
voltage stability margin
Contingency-based Voltage Stability Monitoring via Neural Network with Multi-level Feature Fusion
会议论文
Berlin, Germany, July 11-17, 2020
作者:
Bai, Xiwei
;
Tan, Jie
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|
浏览/下载：9/0
|
提交时间：2020/06/12
Unsupervised situational assessment for power grid voltage stability monitoring based on siamese autoencoder and k-Means clustering
会议论文
Hohhot, China, July 17-20， 2020
作者:
Bai, Xiwei
;
Tan, Jie
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|
浏览/下载：8/0
|
提交时间：2020/06/12
A data-based optimal setting method for the coking flue gas denitration process
期刊论文
CANADIAN JOURNAL OF CHEMICAL ENGINEERING, 2019, 卷号: 97, 期号: 4, 页码: 876-887
作者:
Li, Yaning
;
Wang, Xuelei
;
Liu, Zhenjie
;
Bai, Xiwei
;
Tan, Jie
收藏
|
浏览/下载：75/0
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提交时间：2019/07/12
coking flue gas denitration
data-based
optimal setting
CBR
JITL
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