Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition. - Yaguo Lei; Naipeng Li; Jing Lin 001; Sizhe Wang (Sensors, 2013)

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings. - Naipeng Li; Yaguo Lei; Jing Lin 001; Steven X. Ding (IEEE Trans. Ind. Electron., 2015)

A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction. - Yaguo Lei; Naipeng Li; Jing Lin 001 (IEEE Trans. Instrum. Meas., 2016)

A Model-Based Method for Remaining Useful Life Prediction of Machinery. - Yaguo Lei; Naipeng Li; Szymon Gontarz; Jing Lin 001; Stanislaw Radkowski; Jacek Dybala (IEEE Trans. Reliab., 2016)

Machine remaining useful life prediction considering unit-to-unit variability. - Naipeng Li; Yaguo Lei; Ningbo Li; Jing Lin 001 (ICPHM, 2017)

An improved fusion prognostics method for remaining useful life prediction of bearings. - Biao Wang 004; Yaguo Lei; Naipeng Li; Jing Lin 001 (ICPHM, 2017)

A recurrent neural network based health indicator for remaining useful life prediction of bearings. - Liang Guo 001; Naipeng Li; Feng Jia; Yaguo Lei; Jing Lin 001 (Neurocomputing, 2017)

Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models. - Naipeng Li; Yaguo Lei; Liang Guo 001; Tao Yan 004; Jing Lin 001 (IEEE Trans. Ind. Electron., 2017)

Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process. - Tao Yan 004; Yaguo Lei; Naipeng Li (ICPHM, 2018)

Machinery health indicator construction based on convolutional neural networks considering trend burr. - Liang Guo 001; Yaguo Lei; Naipeng Li; Tao Yan 004; Ningbo Li (Neurocomputing, 2018)

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model. - Naipeng Li; Nagi Gebraeel; Yaguo Lei; Linkan Bian; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2019)

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data. - Liang Guo 001; Yaguo Lei; Saibo Xing; Tao Yan 004; Naipeng Li (IEEE Trans. Ind. Electron., 2019)

A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability. - Naipeng Li; Yaguo Lei; Tao Yan 004; Ningbo Li; Tianyu Han (IEEE Trans. Ind. Electron., 2019)

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery. - Biao Wang 004; Yaguo Lei; Tao Yan 004; Naipeng Li; Liang Guo 001 (Neurocomputing, 2020)

Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions. - Tao Yan 004; Yaguo Lei; Biao Wang 004; Tianyu Han; Xiaosheng Si; Naipeng Li (Reliab. Eng. Syst. Saf., 2020)

A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines. - Bin Yang 014; Yaguo Lei; Feng Jia; Naipeng Li; Zhaojun Du (IEEE Trans. Ind. Electron., 2020)

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings. - Biao Wang 004; Yaguo Lei; Naipeng Li; Ningbo Li (IEEE Trans. Reliab., 2020)

Vulnerability Analysis of Road Network under Information Pollution Attacks in VANET. - Jingjing Yang; Yuchun Guo; Yishuai Chen; Yongxiang Zhao; Naipeng Li (GLOBECOM, 2021)

Remaining useful life prediction based on a multi-sensor data fusion model. - Naipeng Li; Nagi Gebraeel; Yaguo Lei; Xiaolei Fang; Xiao Cai; Tao Yan 004 (Reliab. Eng. Syst. Saf., 2021)

Degradation modeling and remaining useful life prediction for dependent competing failure processes. - Tao Yan 004; Yaguo Lei; Naipeng Li; Biao Wang 004; Wenting Wang (Reliab. Eng. Syst. Saf., 2021)

Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems. - Naipeng Li; Yaguo Lei; Nagi Gebraeel; Zhijian Wang 001; Xiao Cai; Pengcheng Xu 004; Biao Wang 004 (IEEE Trans. Ind. Electron., 2021)

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery. - Biao Wang 004; Yaguo Lei; Naipeng Li; Wenting Wang (IEEE Trans. Ind. Electron., 2021)

Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings. - Zhijian Wang 001; Xinxin He; Bin Yang 014; Naipeng Li (IEEE Trans. Ind. Electron., 2022)

Non-Contact Machine Vibration Sensing and Fault Diagnosis Method Based on Event Camera. - Ruiyi Guang; Xiang Li 018; Yaguo Lei; Naipeng Li; Bin Yang 014 (SAFEPROCESS, 2023)

Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks. - Xiang Li 018; Yixiao Xu; Naipeng Li; Bin Yang 014; Yaguo Lei (IEEE CAA J. Autom. Sinica, 2023)

Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery. - Yuan Wang 011; Yaguo Lei; Naipeng Li; Tao Yan 004; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2023)

Machinery Health Prognostics With Multimodel Fusion Degradation Modeling. - Naipeng Li; Yaguo Lei; Xiaofei Liu; Tao Yan 004; Pengcheng Xu 004 (IEEE Trans. Ind. Electron., 2023)

Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization. - Bin Yang 014; Yaguo Lei; Xiang Li 018; Naipeng Li (Expert Syst. Appl., 2024)

RUL prediction for two-phase degrading systems considering physical damage observations. - Xiao Cai; Naipeng Li; Min Xie (Reliab. Eng. Syst. Saf., 2024)

A nonparametric degradation modeling method for remaining useful life prediction with fragment data. - Naipeng Li; Mingyang Wang; Yaguo Lei; Xiaosheng Si; Bin Yang 014; Xiang Li 018 (Reliab. Eng. Syst. Saf., 2024)

A Wiener-process-inspired semi-stochastic filtering approach for prognostics. - Xiao-Sheng Si; Huiqin Li; Zhengxin Zhang; Naipeng Li (Reliab. Eng. Syst. Saf., 2024)

A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data. - Yuan Wang 011; Yaguo Lei; Naipeng Li; Xuanyu Gao; Xiaofei Liu; Qubing Ren; Jinze Jiang (Reliab. Eng. Syst. Saf., 2024)

Intelligent Machinery Fault Diagnosis With Event-Based Camera. - Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE Trans. Ind. Informatics, 2024)

Dynamic Vision Enabled Contactless Cross-Domain Machine Fault Diagnosis with Neuromorphic Computing. - Xinrui Chen; Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE CAA J. Autom. Sinica, 2024)

Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation. - Bin Yang 014; Yaguo Lei; Xiang Li 018; Naipeng Li; Asoke K. Nandi (IEEE CAA J. Autom. Sinica, 2024)

An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions. - Xiaofei Liu; Yaguo Lei; Naipeng Li; Xiang Li 018; Bin Yang 014 (IEEE Trans. Ind. Informatics, 2024)

Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment. - Xiang Li 018; Shupeng Yu; Yaguo Lei; Naipeng Li; Bin Yang 014 (IEEE CAA J. Autom. Sinica, 2024)

Domain weighted distribution adaptation network: a novel remaining useful life prediction framework for machinery targeting time-varying operation conditions. - Xiaofei Liu; Yaguo Lei; Naipeng Li; Bin Yang 014; Ke Feng; Yue Shu (Adv. Eng. Informatics, 2025)

Machinery Multimodal Uncertainty-Aware RUL Prediction: A Stochastic Modeling Framework for Uncertainty Quantification and Informed Fusion. - Yuan Wang 011; Yaguo Lei; Naipeng Li; Ke Feng; Zidong Wang 001; Yang Tan; Huitong Li (IEEE Internet Things J., 2025)

Balance recovery and collaborative adaptation approach for federated fault diagnosis of inconsistent machine groups. - Bin Yang 014; Yaguo Lei; Naipeng Li; Xiang Li 018; Xiaosheng Si; Chuanhai Chen (Knowl. Based Syst., 2025)

Remaining useful life prediction of lithium-ion battery with nonparametric degradation modeling and incomplete data. - Naipeng Li; Mingyang Wang; Yaguo Lei; Bin Yang 014; Xiang Li 018; Xiaosheng Si (Reliab. Eng. Syst. Saf., 2025)

A framework for modeling and optimization of mechanical equipment considering maintenance cost and dynamic reliability via deep reinforcement learning. - Jianhui Yuan; Yaguo Lei; Naipeng Li; Bin Yang 014; Xiang Li 018; Zexun Chen; Wei Han (Reliab. Eng. Syst. Saf., 2025)

Self-Data-Driven Intelligent Fault Diagnosis of Gearboxes With Sparse Group Lasso. - Naipeng Li; Xinyu Li; Xiaofei Liu; Xiang Li 018; Bin Yang 014; Yaguo Lei (IEEE Trans. Instrum. Meas., 2025)

Large Processor Chip Model. - Kaiyan Chang; Mingzhi Chen; Yunji Chen; Zhirong Chen; Dongrui Fan; Junfeng Gong; Nan Guo; Yinhe Han 001; Qinfen Hao; Shuo Hou; Xuanjing Huang 001; Pengwei Jin; et al. (CoRR, 2025)

Multimodal Correlation-Aware Fusion Framework for Enhanced Machinery Health Prognosis With Unlabeled and Low-Quality Data Exploitation. - Yuan Wang 011; Yaguo Lei; Naipeng Li; Xiang Li 018; Bin Yang 014 (IEEE Trans. Neural Networks Learn. Syst., 2025)