A Doppler Transient Model Based on the Laplace Wavelet and Spectrum Correlation Assessment for Locomotive Bearing Fault Diagnosis. - Changqing Shen; Fang Liu 003; Dong Wang 001; Ao Zhang; Fanrang Kong; Peter W. Tse (Sensors, 2013)

Wayside Bearing Fault Diagnosis Based on a Data-Driven Doppler Effect Eliminator and Transient Model Analysis. - Fang Liu 003; Changqing Shen; Qingbo He; Ao Zhang; Yongbin Liu; Fanrang Kong (Sensors, 2014)

Sparse representation of gearbox compound fault features by combining Majorization-Minimization algorithm and wavelet bases. - Chunyan Luo; Changqing Shen; Wei You; Weiguo Huang; Gaigai Cai; Zhongkui Zhu (I2MTC, 2016)

A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings. - Shenghao Tang; Wei You; Changqing Shen; Juanjuan Shi; Shuang Li; Zhongkui Zhu (ICDLT, 2017)

Stacked Sparse Autoencoder-Based Deep Network for Fault Diagnosis of Rotating Machinery. - Yumei Qi; Changqing Shen; Dong Wang 001; Juanjuan Shi; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2017)

An End-to-End Model Based on Improved Adaptive Deep Belief Network and Its Application to Bearing Fault Diagnosis. - Jiaqi Xie; Guifu Du; Changqing Shen; Nan Chen 002; Liang Chen; Zhongkui Zhu (IEEE Access, 2018)

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)

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis. - Shenghao Tang; Changqing Shen; Dong Wang 001; Shuang Li; Weiguo Huang; Zhongkui Zhu (Neurocomputing, 2018)

Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients. - Dong Wang 001; Changqing Shen (AIM, 2019)

Adaptive Morphological Feature Extraction and Support Vector Regressive Classification for Gearbox Fault Diagnosis. - Yumei Qi; Changqing Shen; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (AIM, 2019)

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

A New Deep Fusion Network for Automatic Mechanical Fault Feature Learning. - Yumei Qi; Changqing Shen; Jun Zhu 012; Xingxing Jiang; Juanjuan Shi; Zhongkui Zhu (IEEE Access, 2019)

Dual-Guidance-Based Optimal Resonant Frequency Band Selection and Multiple Ridge Path Identification for Bearing Fault Diagnosis Under Time-Varying Speeds. - Juanjuan Shi; Weiguo Huang; Changqing Shen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2019)

Adversarial multi-domain adaptation for machine fault diagnosis with variable working conditions. - Qi Li; Shuangjie Liu; Bingru Yang; Yiyun Xu; Liang Chen; Changqing Shen (INDIN, 2020)

Multi-source Unsupervised Domain Adaptation for Machinery Fault Diagnosis under Different Working Conditions. - Jun Zhu 012; Nan Chen 002; Changqing Shen; Dong Wang 001 (INDIN, 2020)

An Intelligent Deep Feature Learning Method With Improved Activation Functions for Machine Fault Diagnosis. - Wei You; Changqing Shen; Dong Wang 001; Liang Chen; Xingxing Jiang; Zhongkui Zhu (IEEE Access, 2020)

Multi-scale deep intra-class transfer learning for bearing fault diagnosis. - Xu Wang; Changqing Shen; Min Xia 001; Dong Wang 001; Jun Zhu 012; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2020)

Multi-sensor gearbox fault diagnosis by using feature-fusion covariance matrix and multi-Riemannian kernel ridge regression. - Xin Li 095; Xiang Zhong; Haidong Shao; Te Han; Changqing Shen (Reliab. Eng. Syst. Saf., 2021)

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines. - Jun Zhu 012; Nan Chen 002; Changqing Shen (IEEE Trans. Ind. Informatics, 2021)

Extended Noise Resistant Correlation Method for Period Estimation of Pseudoperiodic Signals. - Yongxiang Li; Huixian Zhao; Wei Fan 008; Changqing Shen (IEEE Trans. Instrum. Meas., 2021)

Generalized Autocorrelation Method for Fault Detection Under Varying-Speed Working Conditions. - Yongxiang Li; Huixian Zhao; Wei Fan 008; Changqing Shen (IEEE Trans. Instrum. Meas., 2021)

Intelligent Bearing Fault Diagnosis Based on Scaled Ramanujan Filter Banks in Noisy Environments. - Ruixian Li; Li Zhuang; Yongxiang Li; Changqing Shen (IEEE Trans. Instrum. Meas., 2021)

Enhanced Sparse Regularization Based on Logarithm Penalty and Its Application to Gearbox Compound Fault Diagnosis. - Yi Liao; Weiguo Huang; Changqing Shen; Zhongkui Zhu; Jianping Xuan; Lingfeng Mao 001 (IEEE Trans. Instrum. Meas., 2021)

Fault Diagnosis of a Rotor-Bearing System Under Variable Rotating Speeds Using Two-Stage Parameter Transfer and Infrared Thermal Images. - Haidong Shao; Wei Li 191; Min Xia 001; Yu Zhang 001; Changqing Shen; Darren Williams; Andrew Kennedy; Clarence W. de Silva (IEEE Trans. Instrum. Meas., 2021)

Dynamic Joint Distribution Alignment Network for Bearing Fault Diagnosis Under Variable Working Conditions. - Changqing Shen; Xu Wang; Dong Wang 001; Yongxiang Li; Jun Zhu 012; Mingming Gong (IEEE Trans. Instrum. Meas., 2021)

Lifelong Learning for Bearing Fault Diagnosis with Incremental Fault Types. - Bojian Chen; Chuancang Ding; Xingxing Jiang; Juanjuan Shi; Weiguo Huang; Changqing Shen (ICPHM, 2022)

Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions. - Xuegang Li; Xingxing Jiang; Qian Wang; Lidong Yang; Zhijian Wang; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2022)

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)

Fault Feature Extractor Based on Bootstrap Your Own Latent and Data Augmentation Algorithm for Unlabeled Vibration Signals. - Tengyi Peng; Changqing Shen; Shilong Sun 001; Dong Wang 001 (IEEE Trans. Ind. Electron., 2022)

Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions. - Liang Chen; Qi Li; Changqing Shen; Jun Zhu 012; Dong Wang 001; Min Xia 001 (IEEE Trans. Ind. Informatics, 2022)

Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers. - Jun Zhu 012; Cheng-Geng Huang; Changqing Shen; Yongjun Shen (IEEE Trans. Ind. Informatics, 2022)

A Lifelong Learning Method for Gearbox Diagnosis With Incremental Fault Types. - Bojian Chen; Changqing Shen; Dong Wang 001; Lin Kong; Liang Chen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

A New Adversarial Domain Generalization Network Based on Class Boundary Feature Detection for Bearing Fault Diagnosis. - Jingde Li; Changqing Shen; Lin Kong; Dong Wang 001; Min Xia 001; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2022)

Instantaneous Frequency Synchronized Generalized Stepwise Demodulation Transform for Bearing Fault Diagnosis. - Juanjuan Shi; Zehui Hua; Weiguo Huang; Patrick Dumond; Changqing Shen; Zhongkui Zhu (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)

Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling. - Tongtong Yan; Yichu Fu; Ming Lu; Zhinong Li; Changqing Shen; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2022)

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Qiuyu Song; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2023)

A Lifelong Learning Method Based on Generative Feature Replay for Bearing Diagnosis With Incremental Fault Types. - Yao Liu; Bojian Chen; Dong Wang 001; Lin Kong; Juanjuan Shi; Changqing Shen (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)

A New Multisource Domain Bearing Fault Diagnosis Method With Adaptive Dual-Domain Obfuscation Weighting Strategy. - Changqing Shen; Jing Tian; Jun Zhu 012; Juanjuan Shi; Zhongkui Zhu; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm. - Shilong Sun 001; Haodong Huang; Tengyi Peng; Changqing Shen; Dong Wang 001 (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)

Editorial for Special Issue: Machine Health Monitoring and Fault Diagnosis Techniques. - Shilong Sun 001; Changqing Shen; Dong Wang 001 (Sensors, 2023)

Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions. - Qi Li; Liang Chen; Lin Kong; Dong Wang 001; Min Xia 001; Changqing Shen (Reliab. Eng. Syst. Saf., 2023)

Actively Imaginative Data Augmentation for Machinery Diagnosis Under Large-Speed-Fluctuation Conditions. - Zenghui An; Xingxing Jiang; Rui Yang 026; Hanyuan Zhang; Jie Liu 017; Changqing Shen (IEEE Trans. Ind. Informatics, 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)

Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. - Hanting Zhou; Wenhe Chen; Changqing Shen; Longsheng Cheng; Min Xia 001 (Int. J. Prod. Res., 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)

Graph embedding deep broad learning system for data imbalance fault diagnosis of rotating machinery. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2023)

Fault diagnosis for ball screws in industrial robots under variable and inaccessible working conditions with non-vibration signals. - Qitong Chen; Qi Li; Sijia Wu; Liang Chen; Changqing Shen (Adv. Eng. Informatics, 2024)

A new feature boosting based continual learning method for bearing fault diagnosis with incremental fault types. - Zhenzhong He; Changqing Shen; Bojian Chen; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu; Dong Wang 001 (Adv. Eng. Informatics, 2024)

Imbalanced class incremental learning system: A task incremental diagnosis method for imbalanced industrial streaming data. - Mingkuan Shi; Chuancang Ding; Changqing Shen; Weiguo Huang; 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)

Adaptive feature consolidation residual network for exemplar-free continuous diagnosis of rotating machinery with fault-type increments. - Yan Zhang 132; Changqing Shen; Xingli Zhong; Kai Chen; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2024)

Spiral complete coverage path planning based on conformal slit mapping in multi-connected domains. - Changqing Shen; Sihao Mao; Bingzhou Xu; Ziwei Wang; Xiaojian Zhang; Sijie Yan; Han Ding 001 (Int. J. Robotics Res., 2024)

Semi-supervised class incremental broad network for continuous diagnosis of rotating machinery faults with limited labeled samples. - Mingkuan Shi; Chuancang Ding; Rui Wang 081; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 2024)

Deep adaptive sparse residual networks: A lifelong learning framework for rotating machinery fault diagnosis with domain increments. - Yan Zhang 132; Changqing Shen; Juanjuan Shi; Chuan Li 003; Xinhai Lin; Zhongkui Zhu; Dong Wang 001 (Knowl. Based Syst., 2024)

Reserving embedding space for new fault types: A new continual learning method for bearing fault diagnosis. - Hongyan Zhu; Changqing Shen; Lin Li; Dong Wang 001; Weiguo Huang; Zhongkui Zhu (Reliab. Eng. Syst. Saf., 2024)

Metric Learning-Based Few-Shot Adversarial Domain Adaptation: A Cross-Machine Diagnosis Method for Ball Screws of Industrial Robots. - Qitong Chen; Liang Chen; Qi Li; Juanjuan Shi; Dong Wang 001; Changqing Shen (IEEE Trans. Instrum. Meas., 2024)

Point Rail of High-Speed Railway Turnout Induced Feature Extraction Using Oscillatory Behavior-Based Signal Sparse Decomposition. - Weizhen Liu; Miao Tang; Jinzhao Liu; Hangyuan Qin; Juanjuan Shi; Weiguo Huang; Changqing Shen; Zhongkui Zhu (IEEE Trans. Instrum. Meas., 2024)

A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information. - Jun Zhu 012; Yuanfan Wang; Cheng-Geng Huang; Changqing Shen; Bojian Chen (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)

Cross-Domain Class Incremental Broad Network for Continuous Diagnosis of Rotating Machinery Faults Under Variable Operating Conditions. - Mingkuan Shi; Chuancang Ding; Shuyuan Chang; Changqing Shen; Weiguo Huang; Zhongkui Zhu (IEEE Trans. Ind. Informatics, 2024)

A new lifelong learning method based on dual distillation for bearing diagnosis with incremental fault types. - Shijun Xie; Changqing Shen; Dong Wang 001; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

A new adaptive representation dual classifier residual network for continuous fault diagnosis of rotating machinery with domain increments. - Yan Zhang 132; Changqing Shen; Hao Yang; Juanjuan Shi; Weiguo Huang; Zhongkui Zhu (Adv. Eng. Informatics, 2025)

Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples. - Xuyang Tao; Changqing Shen; Lin Li; Dong Wang 001; Juanjuan Shi; Zhongkui Zhu (Appl. Soft Comput., 2025)

A physics-guided memory enhancement and causality-inspired generalization framework for continual fault diagnosis. - Ning Jia; Weiguo Huang; Panpan Guo; Chuancang Ding; Yifan Huangfu; Changqing Shen; Zhongkui Zhu (Knowl. Based Syst., 2025)

Dynamic branch layer fusion: A new continual learning method for rotating machinery fault diagnosis. - Changqing Shen; Zhenzhong He; Bojian Chen; Weiguo Huang; Lin Li; Dong Wang (Knowl. Based Syst., 2025)

Class-aware quantitative adversarial network: a novel partial-set transfer mechanism for cross-domain fault diagnosis of rotating machinery. - Yanlin Zhou; Chuancang Ding; Mingkuan Shi; Hongbo Que; Yifan Huangfu; Changqing Shen; Weiguo Huang; Zhongkui Zhu (Knowl. Based Syst., 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)

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)

PTRL: Prior Transfer Deep Reinforcement Learning for Legged Robots Locomotion. - Haodong Huang; Shilong Sun 001; Zida Zhao; Hailin Huang; Changqing Shen; Wenfu Xu (CoRR, 2025)

Conformal Slit Mapping Based Spiral Tool Trajectory Planning for Ball-end Milling on Complex Freeform Surfaces. - Changqing Shen; Bingzhou Xu; Xiaojian Zhang; Sijie Yan; Han Ding 001 (CoRR, 2025)

CoUDA: Continual Unsupervised Domain Adaptation for Industrial Fault Diagnosis Under Dynamic Working Conditions. - Bojian Chen; Xinmin Zhang; Changqing Shen; Qi Li; Zhihuan Song (IEEE Trans. Ind. Informatics, 2025)