Jianping Xuan
Orcid: 0000-0002-6533-4402
According to our database1,
Jianping Xuan
authored at least 26 papers
between 2005 and 2025.
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Bibliography
2025
Blending-Target Domain Adaptation for Intelligent Fault Recognition With Minimum Cycle Spiking Encoding and Adversarial Attack.
IEEE Trans. Ind. Informatics, January, 2025
Fault Impulse Inference and Cyclostationary Approximation: A feature-interpretable intelligent fault detection method for few-shot unsupervised domain adaptation.
Reliab. Eng. Syst. Saf., 2025
Multi-label domain adversarial reinforcement learning for unsupervised compound fault recognition.
Reliab. Eng. Syst. Saf., 2025
Domain reinforcement feature adaptation methodology with correlation alignment for compound fault diagnosis of rolling bearing.
Expert Syst. Appl., 2025
2024
Noisy Open Set Adversarial Domain Adaption for Bearing Fault Diagnosis Based on Optimized Divergence.
IEEE Trans. Instrum. Meas., 2024
Open set transfer learning for bearing defect recognition based on selective momentum contrast and dual adversarial structure.
Adv. Eng. Informatics, 2024
2023
Transfer reinforcement learning method with multi-label learning for compound fault recognition.
Adv. Eng. Informatics, January, 2023
An uncertainty relevance metric-based domain adaptation fault diagnosis method to overcome class relevance caused confusion.
Reliab. Eng. Syst. Saf., 2023
2022
A novel semi-supervised generative adversarial network based on the actor-critic algorithm for compound fault recognition.
Neural Comput. Appl., 2022
Intelligent fault diagnosis of rolling bearings based on LSTM with large margin nearest neighbor algorithm.
Neural Comput. Appl., 2022
Multitarget domain adaptation with transferable hyperbolic prototypes for intelligent fault diagnosis.
Knowl. Based Syst., 2022
Multi-label fault recognition framework using deep reinforcement learning and curriculum learning mechanism.
Adv. Eng. Informatics, 2022
Alternative multi-label imitation learning framework monitoring tool wear and bearing fault under different working conditions.
Adv. Eng. Informatics, 2022
2021
Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Wise-local response convolutional neural network based on Naïve Bayes theorem for rotating machinery fault classification.
Appl. Intell., 2021
Intelligent fault recognition framework by using deep reinforcement learning with one dimension convolution and improved actor-critic algorithm.
Adv. Eng. Informatics, 2021
2020
Obtaining More Accurate Thermal Boundary Conditions of Machine Tool Spindle Using Response Surface Model Hybrid Artificial Bee Colony Algorithm.
Symmetry, 2020
A Novel End-To-End Fault Diagnosis Approach for Rolling Bearings by Integrating Wavelet Packet Transform into Convolutional Neural Network Structures.
Sensors, 2020
2018
Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings.
Sensors, 2018
2017
Sensors, 2017
2016
A selective fuzzy ARTMAP ensemble and its application to the fault diagnosis of rolling element bearing.
Neurocomputing, 2016
2009
A novel fault diagnosis method of bearing based on improved fuzzy ARTMAP and modified distance discriminant technique.
Expert Syst. Appl., 2009
Application of a modified fuzzy ARTMAP with feature-weight learning for the fault diagnosis of bearing.
Expert Syst. Appl., 2009
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
Proceedings of the IEEE International Joint Conference on Neural Networks, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005