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Xuanyuan Su
Observed name:
Su, Xuanyuan
Institutions:
National Key Laboratory of Science and Technology on Reliability and Environmental Engineering,
Beihang University
Observed institutions:
National Key Laboratory of Science and Technology on Reliability and Environmental Engineering,
Beihang University
ORCID:
0000-0003-0306-183X
Observed ORCID:
0000-0003-0306-183X
OpenAlex ID:
A5041584065
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model
2021
·
Xuanyuan Su
, Hongmei Liu
, et al.
·
Computers & Industrial Engineering
·
118
Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework
2021
·
Xuanyuan Su
, Laifa Tao
, et al.
·
Applied Soft Computing
·
18
Research of Preventive Maintenance Plans for Wind Power Equipment Based on Maintenance Knowledge Fusion Large Model
2024
·
Laifa Tao
, Shangyu Li
, et al.
·
IFAC-PapersOnLine
·
14
DeFIANT: A degradation-aware large model paradigm for generalizable RUL prediction
2025
·
Laifa Tao
, Zhengduo Zhao
, et al.
·
Mechanical Systems and Signal Processing
·
9
TF Entropy and RFE Based Diagnosis for Centrifugal Pumps Subject to the Limitation of Failure Samples
2020
·
Xuanyuan Su
, Hongmei Liu
, et al.
·
Applied Sciences
·
6
PDF
Prognostics and Health Management-Bench: A Domain-Specific Benchmarking Framework for Systematic Evaluation of Large Models in Prognostics and Health Management
2025
·
Puyu Yang
, Laifa Tao
, et al.
·
SSRN Electronic Journal
·
5
Associated Fault Diagnosis of Power Supply Systems Based on Graph Matching: A Knowledge and Data Fusion Approach
2022
·
Laifa Tao
, Haifei Liu
, et al.
·
Mathematics
·
5
PDF
Large language model guided multi-objective reward optimization for maintenance decision-making
2026
·
Qixuan Huang
, Laifa Tao
, et al.
·
Expert Systems with Applications
·
1
Case-driven fault diagnosis with advanced hallucination mitigation in large language models: A way towards practical applications
2026
·
Haifei Liu
, Laifa Tao
, et al.
·
Chinese Journal of Mechanical Engineering
·
1
Fault diagnosis of electromechanical systems under coupled fault characteristics based on digital twin-integrated multi-task graph neural network
2025
·
Laifa Tao
, Kaixin Jin
, et al.
·
Advanced Engineering Informatics
·
1
Collaborative Multitask Learning Framework Based on Constrained Bi-Level Gradient Optimization for Mechanical Fault Diagnosis
2025
·
Xuanyuan Su
, Yongzhe Ma
, et al.
·
IEEE Transactions on Instrumentation and Measurement
·
1
Fault Diagnosis of Hydraulic Systems with Missing Data Based on FGCN: A Data Augmentation Approach
2023
·
Zhengduo Zhao
, Liang Ma
, et al.
·
Lecture notes in electrical engineering
·
1
A data-driven FCE method for UAV condition risk assessment based on feature engineering and variable weight coefficients
2020
·
Xuanyuan Su
, Laifa Tao
, et al.
·
International Conference on Unmanned Aircraft Systems (ICUAS)
·
1
Dual-dimensional adaptive sequential learning: Enhanced fault diagnosis under multivariate data missing
2026
·
Laifa Tao
, Haifei Liu
, et al.
·
Journal of Mechanical Science and Technology
Imbalanced fault diagnosis of electromechanical systems under unseen operating conditions: a heterogeneous domain generalization framework combining digital twin knowledge and data
2026
·
Xuanyuan Su
, Kaixin Jin
, et al.
·
Engineering Applications of Artificial Intelligence
A Multi-Agent Collaborative Model for Directed Multi-Modal Knowledge Integration and Fault Diagnosis Code Generation
2025
·
Zhixuan Lian
, Qixuan Huang
, et al.
·
SSRN Electronic Journal
Digital twin enhanced multitask learning framework for fault diagnosis of electromechanical coupling system
2024
·
Xuanyuan Su
, Jiayue Fang
, et al.
·
International Conference on Reliability, Maintainability and Safety
Hybrid Multi-Task Learning Framework Based on Constrained Bi-Level Gradient Optimization for Mechanical Fault Diagnosis
2022
·
Laifa Tao
, Xuanyuan Su
, et al.
·
SSRN Electronic Journal
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Works count:
19
Citation count:
184
H-index:
5
I10-index:
3
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