Yu Ding

Orcid: 0000-0002-1053-8475

Affiliations:
  • Beihang University, School of Reliability and Systems Engineering, Beijing, China


According to our database1, Yu Ding authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Single-parameter decision-theoretic rough set.
Inf. Sci., 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


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