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Rui Yuan
Institutions:
Sany (China),
Wuhan University of Science and Technology
Observed institutions:
Sany (China),
Wuhan University of Science and Technology
ORCID:
0000-0001-9758-5292
Observed ORCID:
0000-0001-9758-5292
OpenAlex ID:
A5121522934
Advances and prospects of phase space reconstruction-based high-dimensional signal processing for fault diagnosis: A systematic review
2026
·
Yong Lv
, Hengyu Liu
, et al.
·
Mechanical Systems and Signal Processing
·
10
Multivariate cyclostationary deep deconvolution (MCDD): An intelligent multivariate signal processing algorithm
2026
·
Xiaolong Ruan
, Rui Yuan
, et al.
·
Expert Systems with Applications
·
7
Ball tree structure-informed phase space warping: a robust algorithm for dynamic degradation tracking under variable speed conditions
2025
·
Rui Yuan
, Hengyu Liu
, et al.
·
Advanced Engineering Informatics
·
7
Two-Stage Strategy-Guided Improved Feature Mode Decomposition for Mechanical Incipient Fault Diagnosis
2026
·
Xiaolong Ruan
, Yong Lv
, et al.
·
IEEE Sensors Journal
·
2
Fault diagnosis of wheelsets under non-periodic fragmented signals: a single-sensor approach based on phase space reconstruction
2026
·
Zhang Dang
, Mingyue Yang
, et al.
·
Measurement Science and Technology
·
1
Enhanced spectral structure-guided variational model: a dual-domain filtering approach for bearing failure detection
2026
·
Duxi Shang
, Yong Lv
, et al.
·
Structural Health Monitoring
·
1
Data-driven intelligent optimization of cold-rolled aluminum strip thickness control: a hybrid TCN-LSTM-AM and JITL-XGBoost approach
2026
·
Xianfeng Gong
, Zhiliang Lyu
, et al.
·
International Journal of Material Forming
Clustering low-rank tensor train dynamic mode decomposition: An enhanced multivariate signal processing algorithm and its applications
2026
·
Yongqiang Yin
, Yong Lv
, et al.
·
Measurement
Adaptive Network-Integrated Hierarchical Frozen Transfer Learning for Tool Condition Monitoring
2026
·
Xing Shui
, Yong Lv
, et al.
·
IEEE Transactions on Instrumentation and Measurement
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Works count:
9
Citation count:
28
H-index:
3
I10-index:
1
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