Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
A novel multi-source sensor correlation adaptive fusion framework with uncertainty quantification for intelligent fault diagnosis — Yue Yu (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
A novel multi-source sensor correlation adaptive fusion framework with uncertainty quantification for intelligent fault diagnosis
Shared by
Hamid Reza Karimi
Politecnico di Milano
A novel multi-source sensor correlation adaptive fusion framework with uncertainty quantification for intelligent fault diagnosis
Article
2025
en
Authors
+2 more
YY
Yue Yu
Hamid Reza Karimi
Politecnico di Milano
LG
Len Gelman
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2025
A novel multi-sensor information fusion method for fault diagnosis of rotating machinery with missing signals
Tantao Lin
,
Zhijun Ren
,
Kai Huang
,
Yongsheng Zhu
,
Hamid Reza Karimi
Article
2025
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
Yue Yu
,
Hamid Reza Karimi
,
Len Gelman
,
A. Enis Çetin
Expert Systems with Applications
Chapter in a book
2024
A Multi-source Sensors Framework for Mechanical Fault Diagnosis Under Strong Noise
Yue Yu
,
Hamid Reza Karimi
,
Youqian He
Article
2025
MLFNet: A novel multi-level fusion mechanical fault diagnosis network under limited and imbalanced datasets using multi-source information
Yue Yu
,
Hamid Reza Karimi
,
Marek Pawełczyk
Article
2025
Multi-Source Domain Adaptation for Fault Diagnosis: A Unified Framework for Feature and Relation Transfer
Shuai Zhao
,
Hamid Reza Karimi
,
Yue Yu
Discussion(0)
No comments yet. Be the first to comment.