Jun Wang

37 papers C 2Journal 35
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel knowledge-informed quadratic neurons residual network for explainable fault diagnosis in few-shot scenarios.
Eng. Appl. Artif. Intell.
Panpan Guo, Weiguo Huang, Guifu Du, Yifan Huangfu, Chuancang Ding, Jun Wang
2026 J jnl
EnergyMatch: A long-tailed semi-supervised learning framework for cross-domain fault diagnosis.
Reliab. Eng. Syst. Saf.
Xiao Zhang, Weiguo Huang, Yifan Huangfu, Jun Wang, Chuancang Ding, Guifu Du
2026 J jnl
Feature semantic alignment network for rotating machinery domain generalization fault diagnosis with limited labeled samples.
Neurocomputing
He Ren, Junwen Xing, Yi Zhang, Jun Wang, Zhongkui Zhu
2025 J jnl
Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance.
Reliab. Eng. Syst. Saf.
Xiao Zhang, Weiguo Huang, Jun Wang, Zhongkui Zhu, Changqing Shen, Kai Chen, Xingli Zhong, Li He
2025 J jnl
Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis.
J. Intell. Manuf.
Xiao Zhang, Weiguo Huang, Rui Wang, Jun Wang, Changqing Shen
2025 J jnl
Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Kai Chen, Chuancang Ding, Baoxiang Wang, Jun Wang, Weiguo Huang, Zhongkui Zhu
2025 J jnl
PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf.
Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu
2025 J jnl
Physics-Informed Uncertainty-Aware Dynamic Balancing Learning Framework for Unsupervised Universal Domain Generalization Diagnosis Scenario.
IEEE Trans. Instrum. Meas.
Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang
2025 J jnl
Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection.
Eng. Appl. Artif. Intell.
Qiancheng Li, Chuancang Ding, Baoxiang Wang, Jun Wang, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation.
Expert Syst. Appl.
Rui Wang, Weiguo Huang, Yixiang Lu, Jun Wang, Chuancang Ding, Yi Liao, Juanjuan Shi
2024 J jnl
Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis.
Adv. Eng. Informatics
Xiao Zhang, Weiguo Huang, Chuancang Ding, Jun Wang, Changqing Shen, Juanjuan Shi
2024 J jnl
Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis.
Reliab. Eng. Syst. Saf.
Jun Wang, He Ren, Changqing Shen, Weiguo Huang, Zhongkui Zhu
2024 J jnl
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis.
Adv. Eng. Informatics
Ning Jia, Weiguo Huang, Chuancang Ding, Jun Wang, Zhongkui Zhu
2024 J jnl
Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas.
Tianxu Qiu, Weiguo Huang, Yi Liao, Chuancang Ding, Jun Wang
2023 J jnl
A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions.
Reliab. Eng. Syst. Saf.
Rui Wang, Weiguo Huang, Yixiang Lu, Xiao Zhang, Jun Wang, Chuancang Ding, Changqing Shen
2023 J jnl
Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery.
IEEE Trans. Instrum. Meas.
Jun Dai, Jun Wang, Lin-Quan Yao, Weiguo Huang, Zhongkui Zhu
2023 J jnl
Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift.
IEEE Trans. Instrum. Meas.
Rui Wang, Weiguo Huang, Jun Wang, Chuancang Ding, Changqing Shen, Zhongkui Zhu
2023 J jnl
Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis.
Eng. Appl. Artif. Intell.
He Ren, Jun Wang, Weiguo Huang, Xingxing Jiang, Zhongkui Zhu
2023 J jnl
Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate.
IEEE Trans. Instrum. Meas.
Linghui Lu, Jun Wang, Weiguo Huang, Changqing Shen, Juanjuan Shi, Zhongkui Zhu
2023 J jnl
Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy.
Knowl. Based Syst.
Rui Wang, Weiguo Huang, Xiao Zhang, Jun Wang, Chuancang Ding, Changqing Shen
2023 J jnl
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis.
Eng. Appl. Artif. Intell.
Xiao Zhang, Weiguo Huang, Rui Wang, Yi Liao, Chuancang Ding, Jun Wang, Juanjuan Shi
2023 J jnl
Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings.
IEEE Trans. Instrum. Meas.
Juntao Ma, Weiguo Huang, Yi Liao, Xingxing Jiang, Chuancang Ding, Jun Wang, Juanjuan Shi
2022 J jnl
Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings.
IEEE Trans. Instrum. Meas.
He Ren, Jun Wang, Jun Dai, Zhongkui Zhu, Jinzhao Liu
2022 J jnl
Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy.
Knowl. Based Syst.
Rui Wang, Weiguo Huang, Mingkuan Shi, Jun Wang, Changqing Shen, Zhongkui Zhu
2022 J jnl
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions.
IEEE Trans. Instrum. Meas.
Rui Wang, Weiguo Huang, Jun Wang, Changqing Shen, Zhongkui Zhu
2020 J jnl
Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Weiguo Huang, Ning Li, Ivan W. Selesnick, Juanjuan Shi, Jun Wang, Lei Mao, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis.
IEEE Trans. Instrum. Meas.
Lin Wang, Gaigai Cai, Jun Wang, Xingxing Jiang, Zhongkui Zhu
2019 J jnl
Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings.
IEEE Access
Tao Jiang, Jun Wang, Changqing Shen, Xingxing Jiang, Zhongkui Zhu
2018 J jnl
An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder.
Eng. Appl. Artif. Intell.
Changqing Shen, Yumei Qi, Jun Wang, Gaigai Cai, Zhongkui Zhu
2018 J jnl
Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions.
IEEE Trans. Ind. Electron.
Jun Wang, Fangzhou Cheng, Wei Qiao, Liyan Qu
2017 C conf
Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier.
IAS
Fangzhou Cheng, Jun Wang, Liyan Qu, Wei Qiao
2017 C conf
Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system.
IAS
Yayu Peng, Wei Qiao, Liyan Qu, Jun Wang
2016 J jnl
Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines.
IEEE Trans. Ind. Electron.
Jun Wang, Yayu Peng, Wei Qiao
2016 J jnl
Wavelet Packet Envelope Manifold for Fault Diagnosis of Rolling Element Bearings.
IEEE Trans. Instrum. Meas.
Jun Wang, Qingbo He
2015 J jnl
Adaptive Multiscale Noise Tuning Stochastic Resonance for Health Diagnosis of Rolling Element Bearings.
IEEE Trans. Instrum. Meas.
Jun Wang, Qingbo He, Fanrang Kong
2012 J jnl
Effects of multiscale noise tuning on stochastic resonance for weak signal detection.
Digit. Signal Process.
Qingbo He, Jun Wang
2012 J jnl
Time-Frequency Manifold as a Signature for Machine Health Diagnosis.
IEEE Trans. Instrum. Meas.
Qingbo He, Yongbin Liu, Qian Long, Jun Wang