Xianguang Kong

Orcid: 0000-0003-1766-8034

According to our database1, Xianguang Kong authored at least 21 papers between 2011 and 2024.

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

Timeline

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Bibliography

2024
Quality-efficiency coupling prediction and monitoring-based process optimization of thin plate parts with multi-machining feature.
Int. J. Comput. Integr. Manuf., August, 2024

A domain adaptation method for bearing fault diagnosis using multiple incomplete source data.
J. Intell. Manuf., February, 2024

Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis.
Reliab. Eng. Syst. Saf., 2024

Causality-inspired multi-source domain generalization method for intelligent fault diagnosis under unknown operating conditions.
Reliab. Eng. Syst. Saf., 2024

Multi-source partial domain adaptation method based on pseudo-balanced target domain for fault diagnosis.
Knowl. Based Syst., 2024

Communication-Efficient and Privacy-Preserving Aggregation in Federated Learning With Adaptability.
IEEE Internet Things J., 2024

2023
Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach.
Eng. Appl. Artif. Intell., November, 2023

Remaining useful life prediction combined dynamic model with transfer learning under insufficient degradation data.
Reliab. Eng. Syst. Saf., August, 2023

Adaptive multispace adjustable sparse filtering: A sparse feature learning method for intelligent fault diagnosis of rotating machinery.
Eng. Appl. Artif. Intell., April, 2023

Deep transfer learning based on dynamic domain adaptation for remaining useful life prediction under different working conditions.
J. Intell. Manuf., February, 2023

2022
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data.
Reliab. Eng. Syst. Saf., 2022

Deep multiple auto-encoder with attention mechanism network: A dynamic domain adaptation method for rotary machine fault diagnosis under different working conditions.
Knowl. Based Syst., 2022

A bearing fault diagnosis method without fault data in new working condition combined dynamic model with deep learning.
Adv. Eng. Informatics, 2022

CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination.
Proceedings of the 5th International Conference on Artificial Intelligence and Pattern Recognition, 2022

2020
A High Generalizable Feature Extraction Method Using Ensemble Learning and Deep Auto-Encoders for Operational Reliability Assessment of Bearings.
Neural Process. Lett., 2020

2019
Retrospective analysis for phase I statistical process control and process capability study using revised sample entropy.
Neural Comput. Appl., 2019

Evolving feedforward artificial neural networks using a two-stage approach.
Neurocomputing, 2019

Prediction of Axis Attitude Deviation and Deviation Correction Method Based on Data Driven During Shield Tunneling.
IEEE Access, 2019

2015
Rapid integrated parametric CAE modeling method of Linear Variable Differential Transformer based on a script template.
Adv. Eng. Softw., 2015

2013
A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN.
J. Appl. Math., 2013

2011
Three-dimensional digital process typesetting and printing system based on DELMIA.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011


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