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Applications of Unsupervised Deep Transfer Learning to Intelligent Fault
  Diagnosis: A Survey and Comparative Study

Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study

28 December 2019
Zhibin Zhao
Qiyang Zhang
Xiaolei Yu
Chuang Sun
Shibin Wang
Ruqiang Yan
Xuefeng Chen
    AI4CE
ArXivPDFHTML

Papers citing "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study"

7 / 7 papers shown
Title
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated
  Transfer Learning
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning
Jie Shen
Shusen Yang
Cong Zhao
Xuebin Ren
Peng Zhao
Yuqian Yang
Qing Han
Shuaijun Wu
FedML
17
9
0
29 Dec 2023
Large Scale Foundation Models for Intelligent Manufacturing
  Applications: A Survey
Large Scale Foundation Models for Intelligent Manufacturing Applications: A Survey
Haotian Zhang
S. D. Semujju
Zhicheng Wang
Xianwei Lv
Kang Xu
...
Jing Wu
Zhuo Long
Wensheng Liang
Xiaoguang Ma
Ruiyan Zhuang
UQCV
AI4TS
AI4CE
27
4
0
11 Dec 2023
Smart filter aided domain adversarial neural network for fault diagnosis
  in noisy industrial scenarios
Smart filter aided domain adversarial neural network for fault diagnosis in noisy industrial scenarios
Baorui Dai
Gaëtan Frusque
Tianfu Li
Qi Li
Olga Fink
AI4CE
22
0
0
04 Jul 2023
Spatial Graph Convolutional Neural Network via Structured Subdomain
  Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis
Mohammadreza Ghorvei
Mohammadreza Kavianpour
Mohammad T. H. Beheshti
Amin Ramezani
AI4CE
14
71
0
11 Dec 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
180
497
0
08 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
279
9,136
0
06 Jun 2015
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