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科研机构
兰州理工大学 [3]
合肥物质科学研究院 [2]
心理研究所 [1]
自动化研究所 [1]
沈阳自动化研究所 [1]
内容类型
期刊论文 [6]
会议论文 [2]
发表日期
2020 [8]
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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
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/01/06
Bearing
Fault diagnosis
Domain adaptation
Prototype learning
Bearing Intelligent Fault Diagnosis Based on Wavelet Transform and Convolutional Neural Network
期刊论文
Shock and Vibration, 2020, 卷号: 2020, 期号: 2020, 页码: 1-14
作者:
Guo, Junfeng
;
Liu, Xingyu
;
Li, Shuangxue
;
Wang, Zhiming
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/12/31
Convolution
Convolutional neural networks
Extraction
Failure analysis
Fault detection
Feature extraction
Wavelet transformsFault diagnosis method
Fault feature extractions
Feature extraction and classification
Intelligent fault diagnosis
Mechanical equipment
Orthogonal matching pursuit
Real-time fault diagnosis
Time frequency transform
3D foot scanning using multiple RealSense cameras
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020
作者:
Yuan, Munan
;
Li, Xiaofeng
;
Xu, Jinlin
;
Jia, Chaochuan
;
Li, Xiru
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/11/30
3D scanning
Calibration
Reconstruction
RealSense
A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network
期刊论文
IEEE Access, 2020, 卷号: 8, 期号: 7, 页码: 116239-116253
作者:
Junfeng Guo
;
Pengfei Zheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2020/11/11
Sparse representation
double sparse dictionary
deep belief network (DBN)
bearing fault diagnosis
feature extraction.
Small-batch-size convolutional neural network based fault diagnosis system for nuclear energy production safety with big-data environment
期刊论文
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 卷号: 44
作者:
Yao, Yuantao
;
Wang, Jin
;
Long, Pengcheng
;
Xie, Min
;
Wang, Jianye
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  |  
浏览/下载:15/0
  |  
提交时间:2020/11/26
convolution layer visualization
convolutional neural network
deep learning
fault diagnosis
nuclear energy production
small-batch-size processing
The Cueing Effect in Retrieval of Expertise: Designing for Future Intelligent Knowledge Management System.
会议论文
Copenhagen, Denmark, 2020.07.19-2020.07.24
作者:
Zhang, Liang
;
Li, Xiaoqin
;
Xiong, Ting
;
Pang, Xiaoyue
;
Zhang, Jingyu
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  |  
浏览/下载:39/0
  |  
提交时间:2020/06/18
Automatic recognition of sucker-rod pumping system working conditions using dynamometer cards with transfer learning and svm
期刊论文
SENSORS, 2020, 卷号: 20, 期号: 19, 页码: 1-15
作者:
Cheng HB(程海波)
;
Yu HB(于海斌)
;
Zeng P(曾鹏)
;
Osipov, Evgeny
;
Li SC(李世超)
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  |  
浏览/下载:25/0
  |  
提交时间:2020/10/18
working condition recognition
sucker-rod pumping system
dynamometer card
convolutional neural network
transfer learning
support vector machine
A Kind of Faults Knowledge Discovery Pattern by Means of Rough Set Theory
会议论文
Huddersfield, United kingdom, September 3, 2019 - September 5, 2019
作者:
Zhao, Rongzhen
;
Wu, Yaochun
;
He, Tianjing
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  |  
浏览/下载:2/0
  |  
提交时间:2020/11/15
Big data
Classification (of information)
Condition monitoring
Data structures
Expert systems
Knowledge acquisition
Machinery
Data classification
Data structure model
Data-driven methods
Engineering project
Equivalent relation
Inclusion relation
Knowledge conversion
Rough set theory (RST)
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