Chen Lu
Orcid: 0000-0003-1927-2391Affiliations:
- Beihang University, Institute of Reliability Engineering, Beijing, China
According to our database1,
Chen Lu
authored at least 38 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
IEEE Internet Things J., March, 2024
Deep reinforcement learning-based air combat maneuver decision-making: literature review, implementation tutorial and future direction.
Artif. Intell. Rev., January, 2024
Open-Set Fault Recognition and Inference for Rolling Bearing Based on Open Fault Semantic Subspace.
IEEE Trans. Instrum. Meas., 2024
Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning.
Reliab. Eng. Syst. Saf., 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
Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making.
Adv. Eng. Informatics, 2024
2023
An adaptive fault diagnosis framework under class-imbalanced conditions based on contrastive augmented deep reinforcement learning.
Expert Syst. Appl., December, 2023
A case-learning-based paradigm for quantitative recommendation of fault diagnosis algorithms: A case study of gearbox.
Reliab. Eng. Syst. Saf., September, 2023
Autonomous dispatch trajectory planning on flight deck: A search-resampling-optimization framework.
Eng. Appl. Artif. Intell., March, 2023
A prediction-based cycle life test optimization method for cross-formula batteries using instance transfer and variable-length-input deep learning model.
Neural Comput. Appl., February, 2023
Conditional probability based multi-objective cooperative task assignment for heterogeneous UAVs.
Eng. Appl. Artif. Intell., 2023
Fault Diagnosis based on Behavior and State-Awareness Digital Twin of Key Equipment in Power Supply System.
Proceedings of the CAA Symposium on Fault Detection, 2023
2022
An adversarial model for electromechanical actuator fault diagnosis under nonideal data conditions.
Neural Comput. Appl., 2022
A Simultaneous Planning and Control Method Integrating APF and MPC to Solve Autonomous Navigation for USVs in Unknown Environments.
J. Intell. Robotic Syst., 2022
Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion.
Expert Syst. 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
A Novel EPT Autonomous Motion Control Framework for an Off-Axle Hitching Tractor-Trailer System With Drawbar.
IEEE Trans. Intell. Veh., 2021
An interpretable data augmentation scheme for machine fault diagnosis based on a sparsity-constrained generative adversarial network.
Expert Syst. Appl., 2021
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model.
Comput. Ind. Eng., 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
An Active Learning Method Based on Uncertainty and Complexity for Gearbox Fault Diagnosis.
IEEE Access, 2019
A Generative Adversarial Network-Based Intelligent Fault Diagnosis Method for Rotating Machinery Under Small Sample Size Conditions.
IEEE Access, 2019
Research on Measurement Methods of Transferability between Different Domains in Transfer Learning.
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Complex., 2018
A subspace learning-based feature fusion and open-set fault diagnosis approach for machinery components.
Adv. Eng. Informatics, 2018
2017
Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification.
Signal Process., 2017
Intelligent fault diagnosis of rolling bearing using hierarchical convolutional network based health state classification.
Adv. Eng. Informatics, 2017
Fault Diagnosis and Health Assessment for Super-Heterodyne Receivers Based on ITD-SVD and LR.
Proceedings of the Communications, Signal Processing, and Systems, 2017
2013
An approach to performance assessment and fault diagnosis for rotating machinery equipment.
EURASIP J. Adv. Signal Process., 2013
2011
EURASIP J. Adv. Signal Process., 2011
2010
Prediction Interval on Spacecraft Telemetry Data Based on Modified Block Bootstrap Method.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010
2009
A Fuzzy Calendar-Based Algorithm for Mining Temporal Association Rules and its Application.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009