Congying Deng
Orcid: 0000-0002-3980-4351
According to our database1,
Congying Deng
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Semi-supervised ensemble fault diagnosis method based on adversarial decoupled auto-encoder with extremely limited labels.
Reliab. Eng. Syst. Saf., February, 2024
Improved milling stability analysis for chatter-free machining parameters planning using a multi-fidelity surrogate model and transfer learning with limited experimental data.
Int. J. Prod. Res., February, 2024
Boosting efficient attention assisted cyclic adversarial auto-encoder for rotating component fault diagnosis under low label rates.
Eng. Appl. Artif. Intell., 2024
Multi-fidelity modeling and neural network supported prediction of position and tool overhang length-dependent milling stability with limited labeled data.
Comput. Ind. Eng., 2024
2023
Efficient Prediction of Stability Boundaries in Milling Considering the Variation of Tool Features and Workpiece Materials.
Sensors, November, 2023
Efficient stability prediction of milling process with arbitrary tool-holder combinations based on transfer learning.
J. Intell. Manuf., June, 2023
Interactive channel attention for rotating component fault detection with strong noise and limited data.
Appl. Soft Comput., May, 2023
Fault Diagnosis Method for Imbalanced Data Based on Multi-Signal Fusion and Improved Deep Convolution Generative Adversarial Network.
Sensors, March, 2023
Health Indicator Construction for Milling Tool Wear Monitoring With Multi-sensor Fusion.
Proceedings of the CAA Symposium on Fault Detection, 2023
FEM Simulation Data-driven Fault Diagnosis Method for Bearing based on Improved Dynamic Adversarial Adaptive Network with Attention.
Proceedings of the CAA Symposium on Fault Detection, 2023
2021
Chatter Stability Prediction and Process Parameters' Optimization of Milling Considering Uncertain Tool Information.
Symmetry, 2021
2020
Prediction of Tool Point Frequency Response Functions within Machine Tool Work Volume Considering the Position and Feed Direction Dependence.
Symmetry, 2020
Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method.
Int. J. Prod. Res., 2020
2019
Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error.
IEEE Access, 2019