Fast-varying AM-FM components extraction based on an adaptive STFT. - Hang Xie; Jing Lin 001; Yaguo Lei; Yuhe Liao (Digit. Signal Process., 2012)

A Method Based on Multi-Sensor Data Fusion for Fault Detection of Planetary Gearboxes. - Yaguo Lei; Jing Lin 001; Zhengjia He; Detong Kong (Sensors, 2012)

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

Tacholess Envelope Order Analysis and Its Application to Fault Detection of Rolling Element Bearings with Varying Speeds. - Ming Zhao 006; Jing Lin 001; Xiaoqiang Xu; Yaguo Lei (Sensors, 2013)

Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis. - Ming Zhao 006; Jing Lin 001; Xiaoqiang Xu; Xuejun Li (Sensors, 2014)

Drones for cooperative search and rescue in post-disaster situation. - Jinqiang Cui; Swee King Phang; Kevin Z. Y. Ang; Fei Wang 018; Xiangxu Dong; Yijie Ke; Shupeng Lai; Kun Li; Xiang Li 019; Feng Lin 003; Jing Lin 001; Peidong Liu; et al. (RAM/CIS, 2015)

Early Fault Diagnosis of Bearings Using an Improved Spectral Kurtosis by Maximum Correlated Kurtosis Deconvolution. - Feng Jia; Yaguo Lei; Hongkai Shan; Jing Lin 001 (Sensors, 2015)

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)

Reconstruction independent component analysis-based methods for intelligent fault diagnosis. - Yaguo Lei; Hongkai Shan; Feng Jia; Jing Lin 001 (CSCWD, 2016)

A method of automatic feature extraction from massive vibration signals of machines. - Feng Jia; Yaguo Lei; Saibo Xing; Jing Lin 001 (I2MTC, 2016)

The effects of frequency-dependent amplitude characteristic on testing resolution of ultrasonic guided waves. - Liang Zeng 003; Jing Lin 001; Fei Gao; Zhi Luo (IECON, 2016)

Amplitude Dispersion Compensation for Damage Detection Using Ultrasonic Guided Waves. - Liang Zeng 003; Jing Lin 001; Liping Huang; Ming Zhao 006 (Sensors, 2016)

Feature Mining and Health Assessment for Gearboxes Using Run-Up/Coast-Down Signals. - Ming Zhao 006; Jing Lin 001; Yonghao Miao; Xiaoqiang Xu (Sensors, 2016)

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data. - Yaguo Lei; Feng Jia; Jing Lin 001; Saibo Xing; Steven X. Ding (IEEE Trans. Ind. Electron., 2016)

High-Resolution Lamb Wave Inspection in Viscoelastic Composite Laminates. - Jing Lin 001; Fei Gao; Zhi Luo; Liang Zeng 003 (IEEE Trans. Ind. Electron., 2016)

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)

Search and Rescue Using Multiple Drones in Post-Disaster Situation. - Jinqiang Cui; Swee King Phang; Kevin Z. Y. Ang; Fei Wang 018; Xiangxu Dong; Yijie Ke; Shupeng Lai; Kun Li; Xiang Li 019; Jing Lin 001; Peidong Liu; Tao Pang; et al. (Unmanned Syst., 2016)

Weak signal detection based on underdamped multistable stochastic resonance. - Yaguo Lei; Zijian Qiao; Xuefang Xu; Jing Lin 001 (I2MTC, 2017)

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)

A Modified Lamb Wave Time-Reversal Method for Health Monitoring of Composite Structures. - Liang Zeng 003; Jing Lin 001; Liping Huang (Sensors, 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)

A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines. - Feng Jia; Yaguo Lei; Liang Guo 001; Jing Lin 001; Saibo Xing (Neurocomputing, 2018)

A multivariate encoder information based convolutional neural network for intelligent fault diagnosis of planetary gearboxes. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Jian Zhao (Knowl. Based Syst., 2018)

Health Assessment of Rotating Machinery Using a Rotary Encoder. - Ming Zhao 006; Jing Lin 001 (IEEE Trans. Ind. Electron., 2018)

NH3 Coverage Ratio Estimation of Diesel-Engine SCR Systems by a Dual Time-Scale Extended Kalman Filter. - Kai Jiang; Hui Zhang 019; Jing Lin 001 (IEEE Trans. Veh. Technol., 2018)

Hierarchical discriminating sparse coding for weak fault feature extraction of rolling bearings. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Kaixuan Liang (Reliab. Eng. Syst. Saf., 2019)

Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Chuancang Ding (IEEE Trans. Ind. Electron., 2019)

Periodicity-Impulsiveness Spectrum Based on Singular Value Negentropy and Its Application for Identification of Optimal Frequency Band. - Yonghao Miao; Ming Zhao 006; Jing Lin 001 (IEEE Trans. Ind. Electron., 2019)

A Data-Driven Monitoring Scheme for Rotating Machinery Via Self-Comparison Approach. - Ming Zhao 006; Jinyang Jiao; Jing Lin 001 (IEEE Trans. Ind. Informatics, 2019)

A comprehensive review on convolutional neural network in machine fault diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Kaixuan Liang (Neurocomputing, 2020)

Double-level adversarial domain adaptation network for intelligent fault diagnosis. - Jinyang Jiao; Jing Lin 001; Ming Zhao 006; Kaixuan Liang (Knowl. Based Syst., 2020)

Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data. - Chuancang Ding; Ming Zhao 006; Jing Lin 001; Jinyang Jiao; Kaixuan Liang (IEEE Trans. Ind. Electron., 2020)

Unsupervised Adversarial Adaptation Network for Intelligent Fault Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001 (IEEE Trans. Ind. Electron., 2020)

Classifier Inconsistency-Based Domain Adaptation Network for Partial Transfer Intelligent Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Chuancang Ding (IEEE Trans. Ind. Informatics, 2020)

Simultaneous Input and State Estimation for Integrated Motor-Transmission Systems in a Controller Area Network Environment via an Adaptive Unscented Kalman Filter. - Kai Jiang; Hui Zhang 019; Hamid Reza Karimi; Jing Lin 001; Lingjun Song (IEEE Trans. Syst. Man Cybern. Syst., 2020)

A mixed adversarial adaptation network for intelligent fault diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001; Kaixuan Liang; Chuancang Ding (J. Intell. Manuf., 2022)

Uncertainty-based contrastive prototype-matching network towards cross-domain fault diagnosis with small data. - Tian Zhang; Jinyang Jiao; Jing Lin 001; Hao Li 079; Jiadong Hua; Dong He (Knowl. Based Syst., 2022)

Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis. - Jinyang Jiao; Jing Lin 001; Ming Zhao 006; Kaixuan Liang; Chuancang Ding (Neural Networks, 2022)

Multi-Weight Domain Adversarial Network for Partial-Set Transfer Diagnosis. - Jinyang Jiao; Ming Zhao 006; Jing Lin 001 (IEEE Trans. Ind. Electron., 2022)

Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal. - Kaixuan Liang; Ming Zhao 006; Jing Lin 001; Jinyang Jiao; Chuancang Ding (IEEE Trans. Ind. Electron., 2022)

Towards Prediction Constraints: A Novel Domain Adaptation Method for Machine Fault Diagnosis. - Jinyang Jiao; Kaixuan Liang; Chuancang Ding; Jing Lin 001 (IEEE Trans. Ind. Informatics, 2022)

Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis. - Yonghao Miao; Boyao Zhang; Chenhui Li 002; Jing Lin 001; Dayi Zhang (IEEE Trans. Ind. Electron., 2023)

Source-Free Adaptation Diagnosis for Rotating Machinery. - Jinyang Jiao; Hao Li 079; Tian Zhang; Jing Lin 001 (IEEE Trans. Ind. Informatics, 2023)

The High-Sparsity Lamb Wavefield Reconstruction Framework Based on Masked Autoencoder. - Dingcheng Ji; Jing Lin 001; Fei Gao (IEEE Trans. Instrum. Meas., 2023)

Acoustic Emission-Based Cross-Domain Process Health Monitoring for Additive Manufacturing. - Hao Li 079; Fei Gao; Jinyang Jiao; Zongyang Liu; Dingcheng Ji; Jing Lin 001 (IEEE Trans. Instrum. Meas., 2023)

A novel acoustic emission signal segmentation network for bearing fault fingerprint feature extraction under varying speed conditions. - Zongyang Liu; Hao Li 079; Jing Lin 001; Jinyang Jiao; Tian Shen; Boyao Zhang; Hanyang Liu (Eng. Appl. Artif. Intell., 2023)

Self-Training Reinforced Adversarial Adaptation for Machine Fault Diagnosis. - Jinyang Jiao; Hao Li 079; Jing Lin 001 (IEEE Trans. Ind. Electron., 2023)

An interpretable waveform segmentation model for bearing fault diagnosis. - Hao Li 079; Jing Lin 001; Zongyang Liu; Jinyang Jiao; Boyao Zhang (Adv. Eng. Informatics, 2024)

Anti-forgetting source-free domain adaptation method for machine fault diagnosis. - Hao Li 079; Zongyang Liu; Jing Lin 001; Jinyang Jiao; Tian Zhang; Wenhao Li (Knowl. Based Syst., 2024)

Cross-domain data fusion generation: A novel composite label-guided generative solution for adaptation diagnosis. - Tian Zhang; Jing Lin 001; Jinyang Jiao; Hao Li 079 (Knowl. Based Syst., 2024)

Entropy-Oriented Domain Adaptation for Intelligent Diagnosis of Rotating Machinery. - Jinyang Jiao; Hao Li 079; Jing Lin 001; Hui Zhang 019 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Harmonic Sparse Structured Nonnegative Matrix Factorization: A Novel Method for the Separation of Coupled Fault Feature. - Boyao Zhang; Jing Lin 001; Yonghao Miao; Jinyang Jiao; Hanyang Liu (IEEE Trans. Ind. Informatics, 2024)

An Interpretable Latent Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Limited Data. - Tian Zhang; Jing Lin 001; Jinyang Jiao; Han Zhang; Hao Li 079 (IEEE Trans. Ind. Informatics, 2024)

Trustworthy Bayesian deep learning framework for uncertainty quantification and confidence calibration: Application in machinery fault diagnosis. - Hao Li 079; Jinyang Jiao; Zongyang Liu; Jing Lin 001; Tian Zhang; Hanyang Liu (Reliab. Eng. Syst. Saf., 2025)

Digital twin-driven source-free adaptation diagnosis for rolling element bearing under data privacy. - Xinyu Lu; Jinyang Jiao; Jing Lin 001; Zongyang Liu; Hanyang Liu; Boyao Zhang (Reliab. Eng. Syst. Saf., 2025)

Diff-CS-AE: A Dual Reassignment Differential Cyclostationary Analysis Scheme for Acoustic Emission-Based Machine Condition Monitoring. - Zongyang Liu; Hao Li 079; Hu Pan; Jing Lin 001; Jinyang Jiao; Hanyang Liu; Dingcheng Ji (IEEE Trans. Instrum. Meas., 2025)

Source-Free Black-Box Adaptation for Machine Fault Diagnosis. - Jinyang Jiao; Tian Zhang; Hao Li 079; Hanyang Liu; Jing Lin 001 (IEEE Trans. Ind. Informatics, 2025)