Effects of multiscale noise tuning on stochastic resonance for weak signal detection. - Qingbo He; Jun Wang 026 (Digit. Signal Process., 2012)

Time-Frequency Manifold as a Signature for Machine Health Diagnosis. - Qingbo He; Yongbin Liu; Qian Long; Jun Wang 026 (IEEE Trans. Instrum. Meas., 2012)

Adaptive Multiscale Noise Tuning Stochastic Resonance for Health Diagnosis of Rolling Element Bearings. - Jun Wang 026; Qingbo He; Fanrang Kong (IEEE Trans. Instrum. Meas., 2015)

Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines. - Jun Wang 026; Yayu Peng; Wei Qiao 001 (IEEE Trans. Ind. Electron., 2016)

Wavelet Packet Envelope Manifold for Fault Diagnosis of Rolling Element Bearings. - Jun Wang 026; Qingbo He (IEEE Trans. Instrum. Meas., 2016)

Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier. - Fangzhou Cheng; Jun Wang 026; Liyan Qu; Wei Qiao 001 (IAS, 2017)

Sensor fault detection and isolation for a wireless sensor network-based remote wind turbine condition monitoring system. - Yayu Peng; Wei Qiao 001; Liyan Qu; Jun Wang 026 (IAS, 2017)

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder. - Changqing Shen; Yumei Qi; Jun Wang 026; Gaigai Cai; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2018)

Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions. - Jun Wang 026; Fangzhou Cheng; Wei Qiao 001; Liyan Qu (IEEE Trans. Ind. Electron., 2018)

Multi-Bandwidth Mode Manifold for Fault Diagnosis of Rolling Bearings. - Tao Jiang; Jun Wang 026; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

Dual-Enhanced Sparse Decomposition for Wind Turbine Gearbox Fault Diagnosis. - Lin Wang; Gaigai Cai; Jun Wang 026; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2019)

Nonconvex Group Sparsity Signal Decomposition via Convex Optimization for Bearing Fault Diagnosis. - Weiguo Huang; Ning Li 020; Ivan W. Selesnick; Juanjuan Shi; Jun Wang 026; Lei Mao; Xingxing Jiang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2020)

Federated adversarial domain generalization network: A novel machinery fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Mingkuan Shi; Jun Wang 026; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

Dynamic Balanced Domain-Adversarial Networks for Cross-Domain Fault Diagnosis of Train Bearings. - He Ren; Jun Wang 026; Jun Dai; Zhongkui Zhu; Jinzhao Liu (IEEE Trans. Instrum. Meas., 2022)

Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Rui Wang 081; Yi Liao; Chuancang Ding; Jun Wang 026; Juanjuan Shi (Eng. Appl. Artif. Intell., 2023)

Categorical Feature GAN for Imbalanced Intelligent Fault Diagnosis of Rotating Machinery. - Jun Dai; Jun Wang 026; Lin-Quan Yao; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Dual Contrastive Learning for Semi-Supervised Fault Diagnosis Under Extremely Low Label Rate. - Linghui Lu; Jun Wang 026; Weiguo Huang; Changqing Shen; Juanjuan Shi; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

Sparse Low-Rank Matrix Estimation With Nonconvex Enhancement for Fault Diagnosis of Rolling Bearings. - Juntao Ma; Weiguo Huang; Yi Liao; Xingxing Jiang; Chuancang Ding; Jun Wang 026; Juanjuan Shi (IEEE Trans. Instrum. Meas., 2023)

Classifier Discrepancy Guided Soft-Weight Adaptation Network for Machinery Fault Diagnosis Under Domain and Category Shift. - Rui Wang 081; Weiguo Huang; Jun Wang 026; Chuancang Ding; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2023)

A novel domain generalization network with multidomain specific auxiliary classifiers for machinery fault diagnosis under unseen working conditions. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Reliab. Eng. Syst. Saf., 2023)

Domain-invariant feature fusion networks for semi-supervised generalization fault diagnosis. - He Ren; Jun Wang 026; Weiguo Huang; Xingxing Jiang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2023)

Federated contrastive prototype learning: An efficient collaborative fault diagnosis method with data privacy. - Rui Wang 081; Weiguo Huang; Xiao Zhang; Jun Wang 026; Chuancang Ding; Changqing Shen (Knowl. Based Syst., 2023)

Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Cross-Supervised multisource prototypical network: A novel domain adaptation method for multi-source few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Chuancang Ding; Jun Wang 026; Changqing Shen; Juanjuan Shi (Adv. Eng. Informatics, 2024)

Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation. - Rui Wang 081; Weiguo Huang; Yixiang Lu; Jun Wang 026; Chuancang Ding; Yi Liao; Juanjuan Shi (Expert Syst. Appl., 2024)

Sparse Optimization Model Based on Sparse Matrix and Singular Value Vector for Fault Diagnosis of Rolling Bearings. - Tianxu Qiu; Weiguo Huang; Yi Liao; Chuancang Ding; Jun Wang 026 (IEEE Trans. Instrum. Meas., 2024)

Multi-scale style generative and adversarial contrastive networks for single domain generalization fault diagnosis. - Jun Wang 026; He Ren; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2024)

Universal multimodal aggregation network with adaptive enhancement and semantic guidance for salient object detection. - Qiancheng Li; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (Eng. Appl. Artif. Intell., 2025)

PC3Net: A prior-causal contrast-collaboration network for single domain generalization fault diagnosis. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2025)

Adaptive variational sampling-embedded domain generalization network for fault diagnosis with intra-inter-domain class imbalance. - Xiao Zhang; Weiguo Huang; Jun Wang 026; Zhongkui Zhu; Changqing Shen; Kai Chen; Xingli Zhong; Li He (Reliab. Eng. Syst. Saf., 2025)

Interpretable Transfer Unrolling Network for Intelligent Cross-Domain Condition Monitoring of Rotating Machinery. - Kai Chen; Chuancang Ding; Baoxiang Wang 005; Jun Wang 026; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2025)

Physics-Informed Uncertainty-Aware Dynamic Balancing Learning Framework for Unsupervised Universal Domain Generalization Diagnosis Scenario. - Ning Jia; Weiguo Huang; Chuancang Ding; Jun Wang 026 (IEEE Trans. Instrum. Meas., 2025)

Dual prototypical contrastive network: a novel self-supervised method for cross-domain few-shot fault diagnosis. - Xiao Zhang; Weiguo Huang; Rui Wang 081; Jun Wang 026; Changqing Shen (J. Intell. Manuf., 2025)