Domain adaptation method based on pseudo-label dual-constraint targeted decoupling network for cross-machine fault diagnosis.
Reliab. Eng. Syst. Saf., 2025
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
SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization.
Knowl. Based Syst., 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
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
Cyclic Auto-encoder: A Novel Semi-supervised Method for Rotating Component Fault Diagnosis with Low Label Rate.
Proceedings of the CAA Symposium on Fault Detection, 2023
Improved Generative Adversarial Network for Rotating Component Fault Diagnosis in Scenarios With Extremely Limited Data.
IEEE Trans. Instrum. Meas., 2022
An Enhanced Multifeature Fusion Method for Rotating Component Fault Diagnosis in Different Working Conditions.
IEEE Trans. Reliab., 2021
A Novel Intelligent Diagnosis Method for Bearing Based on Fused-feature Images.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021
Reliability analysis of chatter stability for milling process system with uncertainties based on neural network and fourth moment method.
Int. J. Prod. Res., 2020
Fault diagnosis of electrohydraulic actuator based on multiple source signals: An experimental investigation.
Neurocomputing, 2020
Multi-Objective Machining Parameters Optimization for Chatter-Free Milling Process Considering Material Removal Rate and Surface Location Error.
IEEE Access, 2019