Feature Selection and Classification of Gear Faults Using SOM. - Guanglan Liao; Tielin Shi; Weihua Li 004; Tao Huang (ISNN (3), 2005)

Gear Crack Detection Using Kernel Function Approximation. - Weihua Li 004; Tielin Shi; Kang Ding (ICONIP (3), 2006)

Envelope analysis by wavelet-filter based spectral kurtosis for bearing health monitoring. - Weihua Li 004; Zhidong Huang; Huibin Lin; Kang Ding (I2MTC, 2013)

Semisupervised Distance-Preserving Self-Organizing Map for Machine-Defect Detection and Classification. - Weihua Li 004; Shaohui Zhang; Guolin He (IEEE Trans. Instrum. Meas., 2013)

Bearing fault classification using firefly clustering. - Weihua Li 004; Waiping Shan; Shenglong Weng (I2MTC, 2015)

Machine fault classification using deep belief network. - Zhuyun Chen 001; Xueqiong Zeng; Weihua Li 004; Guanglan Liao (I2MTC, 2016)

Feature Denoising and Nearest-Farthest Distance Preserving Projection for Machine Fault Diagnosis. - Weihua Li 004; Shaohui Zhang; Subhash Rakheja (IEEE Trans. Ind. Informatics, 2016)

Multisensor Feature Fusion for Bearing Fault Diagnosis Using Sparse Autoencoder and Deep Belief Network. - Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2017)

Electric vehicle battery temperature measuring method based on magnetic nanoparticles. - Xiaonan Liu; Wenjin Chen; Jie Liu; Weihua Li 004; Ruqiang Yan 001 (I2MTC, 2018)

Regrouping particle swarm optimization based variable neural network for gearbox fault diagnosis. - Yixiao Liao; Lei Zhang; Weihua Li 004 (J. Intell. Fuzzy Syst., 2018)

Gearbox Fault Diagnosis Using Convolutional Neural Networks And Support Vector Machines. - Zhuyun Chen 001; Chenyu Liu; Konstantinos C. Gryllias; Weihua Li 004 (EUSIPCO, 2019)

An Intelligent Compound Fault Diagnosis Method Using One-Dimensional Deep Convolutional Neural Network With Multi-Label Classifier. - Ruyi Huang; Weihua Li 004; Lingli Cui (I2MTC, 2019)

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis. - Ruyi Huang; Yixiao Liao; Shaohui Zhang; Weihua Li 004 (IEEE Access, 2019)

Deep Learning With Emerging New Labels for Fault Diagnosis. - Shaohui Zhang; Man Wang; Weihua Li 004; Jiesi Luo; Zusheng Lin (IEEE Access, 2019)

Bearing performance degradation assessment using long short-term memory recurrent network. - Bin Zhang; Shaohui Zhang; Weihua Li 004 (Comput. Ind., 2019)

Generalized Gaussian Noise Distribution Enabled Sparse Representation Model for Bearing Fault Diagnosis. - Botao An; Shibin Wang; Ruqiang Yan 001; Weihua Li 004; Xuefeng Chen 002 (I2MTC, 2020)

A Transferable Capsule Network for Decoupling Compound Fault of Machinery. - Ruyi Huang; Zhen Wang; Jipu Li; Junbin Chen; Weihua Li 004 (I2MTC, 2020)

Intelligent Fault Diagnosis for Rotary Machinery Using Transferable Convolutional Neural Network. - Zhuyun Chen 001; Konstantinos C. Gryllias; Weihua Li 004 (IEEE Trans. Ind. Informatics, 2020)

A Robust Weight-Shared Capsule Network for Intelligent Machinery Fault Diagnosis. - Ruyi Huang; Jipu Li; Shuhua Wang; Guanghui Li; Weihua Li 004 (IEEE Trans. Ind. Informatics, 2020)

Domain Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Rotary Machinery. - Zhuyun Chen 001; Guolin He; Jipu Li; Yixiao Liao; Konstantinos C. Gryllias; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2020)

Deep Ensemble Capsule Network for Intelligent Compound Fault Diagnosis Using Multisensory Data. - Ruyi Huang; Jipu Li; Weihua Li 004; Lingli Cui (IEEE Trans. Instrum. Meas., 2020)

Deep Semisupervised Domain Generalization Network for Rotary Machinery Fault Diagnosis Under Variable Speed. - Yixiao Liao; Ruyi Huang; Jipu Li; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2020)

A Global-Local Dynamic Adversarial Network for Intelligent Fault Diagnosis of Spindle Bearing. - Jipu Li; Ruyi Huang; Jingyan Xia; Zhuyun Chen 001; Weihua Li 004 (I2MTC, 2021)

Feature-Guided Spatial Attention Upsampling for Real-Time Stereo Matching Network. - Yun Xie; Shaowu Zheng; Weihua Li 004 (IEEE Multim., 2021)

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery. - Weihua Li 004; Zhuyun Chen 001; Guolin He (IEEE Trans. Ind. Informatics, 2021)

Adaptive Robust Noise Modeling of Sparse Representation for Bearing Fault Diagnosis. - Botao An; Shibin Wang; Ruqiang Yan 001; Weihua Li 004; Xuefeng Chen 002 (IEEE Trans. Instrum. Meas., 2021)

Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis. - Junbin Chen; Ruyi Huang; Kun Zhao 009; Wei Wang 303; Longcan Liu; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2021)

Deep Adversarial Capsule Network for Compound Fault Diagnosis of Machinery Toward Multidomain Generalization Task. - Ruyi Huang; Jipu Li; Yixiao Liao; Junbin Chen; Zhen Wang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2021)

Intelligent Cross-domain Fault Diagnosis For Rotating Machinery Using Multiscale Adversarial Convolutional Neural Network. - Ke Yue; Jipu Li; Junbin Chen; Weihua Li 004 (I2MTC, 2022)

IMS Technical Committee TC-3: Condition Monitoring and Fault Diagnosis Instrument. - Weihua Li 004; Xuefeng Chen 002 (IEEE Instrum. Meas. Mag., 2022)

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging. - Junbin Chen; Jipu Li; Ruyi Huang; Ke Yue; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

Dual-Attention-Based Multiscale Convolutional Neural Network With Stage Division for Remaining Useful Life Prediction of Rolling Bearings. - Fei Jiang 001; Kang Ding; Guolin He; Huibin Lin; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

Deep Self-Supervised Domain Adaptation Network for Fault Diagnosis of Rotating Machine With Unlabeled Data. - Jipu Li; Ruyi Huang; Junbin Chen; Jingyan Xia; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

A Reweighted Overlapping Group Shrinkage Method for Bearing Fault Diagnosis. - Zhongze Liu; Kang Ding; Huibin Lin; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2022)

A Novel Strategy for Global Lane Detection Based on Key-Point Regression and Multi-Scale Feature Fusion. - Shaowu Zheng; Yun Xie; Minghao Li; Chong Xie; Weihua Li 004 (IEEE Trans. Intell. Transp. Syst., 2022)

Gradient-Based Interpretable Graph Convolutional Network for Bearing Fault Diagnosis. - Kairu Wen; Ruyi Huang; Dongpeng Li; Zhuyun Chen 001; Weihua Li 004 (I2MTC, 2023)

Resource-Efficient Network for Intelligent Fault Diagnosis Using Tree-Structured Parzen Estimator. - Jingkang Liang; Zhuyun Chen 001; Junbin Chen; Jipu Li; Ruyi Huang; Weihua Li 004 (ICSRS, 2023)

V2X-Based Cooperative Positioning for Connected Vehicles in GNSS- Denied Environments. - Shaowu Zheng; Chong Xie; Ruyi Huang; Shanhu Yu; Ming Ye; Weihua Li 004 (ITSC, 2023)

Gradient flow-based meta generative adversarial network for data augmentation in fault diagnosis. - Rugen Wang; Zhuyun Chen 001; Weihua Li 004 (Appl. Soft Comput., 2023)

A LightGBM-Based Multiscale Weighted Ensemble Model for Few-Shot Fault Diagnosis. - Weihua Li 004; Jingke He; Huibin Lin; Ruyi Huang; Guolin He; Zhuyun Chen 001 (IEEE Trans. Instrum. Meas., 2023)

WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking. - Weihua Li 004; Hao Lan; Junbin Chen; Ke Feng; Ruyi Huang (IEEE Trans. Instrum. Meas., 2023)

CapsFormer: A Novel Bearing Intelligent Fault Diagnosis Framework With Negligible Speed Change Under Small-Sample Conditions. - Yong Xu; Hui Tao; Weihua Li 004; Yong Zhong (IEEE Trans. Instrum. Meas., 2023)

A Novel Optimization Demodulation Method for Gear Fault Vibration Overmodulation Signal and Its Application to Fault Diagnosis. - Xiaoqing Yang; Guolin He; Kang Ding; Yuanzheng Li; Xiaoxi Ding; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2023)

Multiscale Wavelet Prototypical Network for Cross-Component Few-Shot Intelligent Fault Diagnosis. - Ke Yue; Jipu Li; Junbin Chen; Ruyi Huang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2023)

Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis. - Ke Yue; Jipu Li; Zhuyun Chen 001; Ruyi Huang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2023)

Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis. - Jiao Chen 001; Jianhua Tang; Weihua Li 004 (IEEE Trans. Netw. Sci. Eng., 2023)

Deep continual transfer learning with dynamic weight aggregation for fault diagnosis of industrial streaming data under varying working conditions. - Jipu Li; Ruyi Huang; Zhuyun Chen 001; Guolin He; Konstantinos C. Gryllias; Weihua Li 004 (Adv. Eng. Informatics, 2023)

A Multi-Source Weighted Deep Transfer Network for Open-Set Fault Diagnosis of Rotary Machinery. - Zhuyun Chen 001; Yixiao Liao; Jipu Li; Ruyi Huang; Lei Xu; Gang Jin; Weihua Li 004 (IEEE Trans. Cybern., 2023)

Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression. - Jiaxian Chen; Dongpeng Li; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (Reliab. Eng. Syst. Saf., 2023)

Generalized open-set domain adaptation in mechanical fault diagnosis using multiple metric weighting learning network. - Zhuyun Chen 001; Jingyan Xia; Jipu Li; Junbin Chen; Ruyi Huang; Gang Jin; Weihua Li 004 (Adv. Eng. Informatics, 2023)

On the Connectivity Maximization in NOMA-Aided Industrial IoT With Multiple Services. - Bo Yin; Jianhua Tang; Miaowen Wen; Weihua Li 004 (IEEE Internet Things J., 2023)

Long-Short-Term-Memory-Based Deep Stacked Sequence-to-Sequence Autoencoder for Health Prediction of Industrial Workers in Closed Environments Based on Wearable Devices. - Weidong Xu; Jingke He; Weihua Li 004; Yi He; Haiyang Wan; Wu Qin; Zhuyun Chen 001 (Sensors, 2023)

A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis. - Jingyan Xia; Ruyi Huang; Zhuyun Chen 001; Guolin He; Weihua Li 004 (Reliab. Eng. Syst. Saf., 2023)

RP3D: A Roadside Perception Framework for 3D Object Detection via Multi-view Sensor Fusion. - Shaowu Zheng; Ruyi Huang; Yuan Ji; Ming Ye; Weihua Li 004 (ECCV Workshops (8), 2024)

VICooper: A Practical Vehicle-Infrastructure Cooperative Perception Framework for Autonomous Driving. - Shaowu Zheng; Ming Ye; Yuan Ji; Ruyi Huang; Weihua Li 004 (ECCV Workshops (8), 2024)

Multi-Scale Dilated Convolutional Auto-Encoder Network for Weak Feature Extraction and Health Condition Detection. - Jiaxian Chen; Dongpeng Li; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (I2MTC, 2024)

An Interpretable Fault Diagnosis Framework based on Capsule Network with Statistical Features. - Hao Lan; Shuhan Deng; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (I2MTC, 2024)

Source-free Open-set Domain Adaptation Network for Emerging Fault Diagnosis of Planetary Gearbox. - Ke Yue; Jipu Li; Zhuyun Chen 001; Junbin Chen; Weihua Li 004 (I2MTC, 2024)

Fault Prior-guided White-box Model towards Interpretable Discriminant Feature Extraction. - Yuan Zheng; Weihua Li 004; Zhuyun Chen 001; Huibin Lin; Guolin He (I2MTC, 2024)

Enhancing Reliability Through Interpretability: A Comprehensive Survey of Interpretable Intelligent Fault Diagnosis in Rotating Machinery. - Gang Chen 024; Junlin Yuan; Yiyue Zhang; Hanyue Zhu; Ruyi Huang; Fengtao Wang; Weihua Li 004 (IEEE Access, 2024)

Fault diagnosis of gearbox driven by vibration response mechanism and enhanced unsupervised domain adaptation. - Fei Jiang 001; Weiqi Lin; Zhaoqian Wu; Shaohui Zhang; Zhuyun Chen 001; Weihua Li 004 (Adv. Eng. Informatics, 2024)

Towards General Industrial Intelligence: A Survey on IIoT-Enhanced Continual Large Models. - Jiao Chen 001; Jiayi He; Fangfang Chen; Zuohong Lv; Jianhua Tang; Weihua Li 004; Zuozhu Liu; Howard H. Yang; Guangjie Han (CoRR, 2024)

A digital twin-driven approach for partial domain fault diagnosis of rotating machinery. - Jingyan Xia; Zhuyun Chen 001; Jiaxian Chen; Guolin He; Ruyi Huang; Weihua Li 004 (Eng. Appl. Artif. Intell., 2024)

An auto-regulated universal domain adaptation network for uncertain diagnostic scenarios of rotating machinery. - Jipu Li; Xiaoge Zhang 001; Ke Yue; Junbin Chen; Zhuyun Chen 001; Weihua Li 004 (Expert Syst. Appl., 2024)

A robust and real-time lane detection method in low-light scenarios to advanced driver assistance systems. - Ronghui Zhang; Jingtao Peng; Wanting Gou; Yuhang Ma; Junzhou Chen 001; Hongyu Hu; Weihua Li 004; Guodong Yin; Zhiwu Li 001 (Expert Syst. Appl., 2024)

Depth-Guided Aggregation for Real-Time Binocular Depth Estimation Network. - Dongxin Fu; Shaowu Zheng; Pengcheng Xie; Weihua Li 004 (IEEE Multim., 2024)

A relationship-aware calibrated prototypical network for fault incremental diagnosis of electric motors without reserved samples. - Ke Yue; Jipu Li; Shuhan Deng; Chee Keong Kwoh 001; Zhuyun Chen 001; Weihua Li 004 (Reliab. Eng. Syst. Saf., 2024)

Time-Frequency RWGAN for Machine Anomaly Detection Under Varying Working Conditions. - Haiyang Wan; Weihua Li 004; Jian Jiao 003; Chuanpeng Ji; Weidong Xu; Yi He; Zhuyun Chen 001 (IEEE Trans. Instrum. Meas., 2024)

A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining. - Kai Wu; Yuan Lu; Ruyi Huang; Bernd Kuhlenkötter; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2024)

Digital Twin-Assisted Fault Diagnosis of Rotating Machinery Without Measured Fault Data. - Jingyan Xia; Ruyi Huang; Jipu Li; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2024)

A novel weakly supervised adversarial network for thermal error modeling of electric spindles with scarce samples. - Shuai Ma; Jiewu Leng; Zhuyun Chen 001; Bo Li; Xing Li; Ding Zhang; Weihua Li 004; Qiang Liu 031 (Expert Syst. Appl., 2024)

Knowledge Embedded Autoencoder Network for Harmonic Drive Fault Diagnosis Under Few-Shot Industrial Scenarios. - Jiaxian Chen; Kairu Wen; Jingyan Xia; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (IEEE Internet Things J., 2024)

MDAE-GraphSage Network-based Intelligent Fault Diagnosis for Harmonic Drive under Multiple Unknown Working Conditions. - Xu Tan; Jiaxian Chen; Guolin He; Shupeng Tan; Yan Shao; Weihua Li 004 (I2MTC, 2025)

Cross-modality domain adaptation for mechanical anomaly detection: A von mises-fisher VAE with enhanced interpretability. - Haiyang Wan; Weihua Li 004; Xing Luo; Weichao Luo; Jian Jiao 003; Jipu Li; Bin Zhang; Zhuyun Chen 001 (Expert Syst. Appl., 2025)

Contrastive Learning-Based Feature-Consistency Distillation Network for Weak Fault Diagnosis of Harmonic Drive. - Jiaxian Chen; Dongpeng Li; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2025)

MTSNN: A Few-Shot Fine-Grained Diagnosis Framework for Cross-Machine Fault Diagnosis With Heterogeneous Fault Categories. - Jipu Li; Ke Yue; Zhaoqian Wu; Fei Jiang 001; Zhi Zhong; Shaohui Zhang; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2025)

Universal Source-Free Knowledge Transfer Network for Fault Diagnosis of Electromechanical System With Multimodal Signals. - Ke Yue; Jipu Li; Zhuyun Chen 001; Junbin Chen; Weihua Li 004 (IEEE Trans. Instrum. Meas., 2025)

Knowledge Efficient Federated Continual Learning for Industrial Edge Systems. - Jiao Chen 001; Jiayi He; Jianhua Tang; Weihua Li 004; Zihang Yin (IEEE Trans. Netw. Sci. Eng., 2025)

FaultGPT: Industrial Fault Diagnosis Question Answering System by Vision Language Models. - Jiao Chen 001; Ruyi Huang; Zuohong Lv; Jianhua Tang; Weihua Li 004 (CoRR, 2025)

Natural Modal Sketching Network: An Interpretable Approach for Bearing Impulsive Feature Extraction. - Yuan Zheng; Weihua Li 004; Guolin He; Kang Ding; Zhuyun Chen 001 (IEEE Trans. Cybern., 2025)

A digital twin-assisted deep transfer learning method towards intelligent thermal error modeling of electric spindles. - Shuai Ma; Jiewu Leng; Pai Zheng; Zhuyun Chen 001; Bo Li; Weihua Li 004; Qiang Liu 031; Xin Chen 005 (J. Intell. Manuf., 2025)

Mechanism-Informed Neural Network: An Interpretable Method for Gearbox Impulsive Fault Feature Extraction. - Yuan Zheng; Weihua Li 004; Guolin He; Zhuyun Chen 001; Chen Zheng (IEEE Internet Things J., 2025)

A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery. - Jiaxian Chen; Dongpeng Li; Ruyi Huang; Zhuyun Chen 001; Weihua Li 004 (J. Intell. Manuf., 2025)

Robotic Assembly of Deformable Linear Objects via Curriculum Reinforcement Learning. - Kai Wu; Rongkang Chen; Qi Chen; Weihua Li 004 (IEEE Robotics Autom. Lett., 2025)

Matching Pursuit Network: An Interpretable Sparse Time-Frequency Representation Method Toward Mechanical Fault Diagnosis. - Huibin Lin; Xiaofeng Huang; Zhuyun Chen 001; Guolin He; Ciyang Xi; Weihua Li 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)