Yu Ding
Orcid: 0000-0002-1053-8475Affiliations:
- Beihang University, School of Reliability and Systems Engineering, Beijing, China
According to our database1,
Yu Ding
authored at least 16 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Cobb angle prediction for adolescent idiopathic scoliosis via an explainable machine learning model.
Array, 2025
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm.
Adv. Eng. Informatics, 2025
2024
A rail defect detection framework under class-imbalanced conditions based on improved you only look once network.
Eng. Appl. Artif. Intell., 2024
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges.
CoRR, 2024
2023
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.
Expert Syst. Appl., December, 2023
Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs.
Eng. Appl. Artif. Intell., 2023
2022
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.
Neural Comput. Appl., 2022
Binomial adversarial representation learning for machinery fault feature extraction and diagnosis.
Appl. Soft Comput., 2022
A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning.
Adv. Eng. Informatics, 2022
2021
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network.
Expert Syst. Appl., 2021
2020
Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision.
Neural Comput. Appl., 2020
Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety.
IEEE Access, 2020
2019
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Adv. Eng. Informatics, 2019
A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions.
IEEE Access, 2019
2018
Fault Diagnosis for Hydraulic Servo System Using Compressed Random Subspace Based ReliefF.
Complex., 2018