A joint sparse wavelet coefficient extraction and adaptive noise reduction method in recovery of weak bearing fault features from a multi-component signal mixture. - Dong Wang 001; Wei Guo; Xiaojuan Wang (Appl. Soft Comput., 2013)

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)

Novel Bayesian inference on optimal parameters of support vector machines and its application to industrial survey data classification. - Jingjing Zhong; Peter W. Tse; Dong Wang 001 (Neurocomputing, 2016)

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter. - Dong Wang 001; Fangfang Yang; Kwok-Leung Tsui; Qiang Zhou 002; Suk Joo Bae (IEEE Trans. Instrum. Meas., 2016)

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)

Prognostics of Lithium-ion batteries based on state space modeling with heterogeneous noise variances. - Dong Wang 001; Fangfang Yang; Yang Zhao 009; Kwok-Leung Tsui (Microelectron. Reliab., 2017)

Battery remaining useful life prediction at different discharge rates. - Dong Wang 001; Fangfang Yang; Yang Zhao 009; Kwok-Leung Tsui (Microelectron. Reliab., 2017)

Prognostics of Li(NiMnCo)O2-based lithium-ion batteries using a novel battery degradation model. - Fangfang Yang; Dong Wang 001; Yinjiao Xing; Kwok-Leung Tsui (Microelectron. Reliab., 2017)

State Space Formulation of Nonlinear Vibration Responses Collected from a Dynamic Rotor-Bearing System: An Extension of Bearing Diagnostics to Bearing Prognostics. - Peter W. Tse; Dong Wang 001 (Sensors, 2017)

Statistical Modeling of Bearing Degradation Signals. - Dong Wang 001; Kwok-Leung Tsui (IEEE Trans. Reliab., 2017)

Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation. - Chao Huang 002; Zhenhua Wang; Zihan Zhao; Long Wang 015; Chun Sing Lai; Dong Wang 001 (IEEE Access, 2018)

Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators. - Dong Wang 001; Kwok-Leung Tsui; Qiang Miao (IEEE Access, 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)

Making EEMD more effective in extracting bearing fault features for intelligent bearing fault diagnosis by using blind fault component separation. - Dong Wang 001; Cai Yi; Kwok Leung Tsui (J. Intell. Fuzzy Syst., 2018)

EEMD-Based Steady-State Indexes and Their Applications to Condition Monitoring and Fault Diagnosis of Railway Axle Bearings. - Cai Yi; Dong Wang 001; Wei Fan 008; Kwok-Leung Tsui; Jianhui Lin (Sensors, 2018)

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

Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries. - Xiangbao Song; Fangfang Yang; Dong Wang 001; Kwok-Leung Tsui (IEEE Access, 2019)

Big Data Opportunities: System Health Monitoring and Management. - Kwok Leung Tsui; Yang Zhao 009; Dong Wang 001 (IEEE Access, 2019)

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)

Constructing a health indicator for roller bearings by using a stacked auto-encoder with an exponential function to eliminate concussion. - Fan Xu 003; Zhelin Huang; Fangfang Yang; Dong Wang 001; Kwok Leung Tsui (Appl. Soft Comput., 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)

Differential Enhancement Method for Robust and Accurate Heart Rate Monitoring via Microwave Vital Sign Sensing. - Yuyong Xiong; Zhike Peng; Changzhan Gu; Songxu Li; Dong Wang 001; Wenming Zhang (IEEE Trans. Instrum. Meas., 2020)

Multi-stage fault diagnosis framework for rolling bearing based on OHF Elman AdaBoost-Bagging algorithm. - Tangbin Xia; Pengcheng Zhuo; Lei Xiao; Shichang Du; Dong Wang 001; Lifeng Xi (Neurocomputing, 2021)

Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing. - Meimei Zheng; Hongqing Ye; Dong Wang 001; Ershun Pan (Reliab. Eng. Syst. Saf., 2021)

Extracting cyclo-stationarity of repetitive transients from envelope spectrum based on prior-unknown blind deconvolution technique. - Liu He; Dong Wang 001; Cai Yi; Qiuyang Zhou; Jianhui Lin (Signal Process., 2021)

Theoretical and Experimental Investigations on Spectral Lp/Lq Norm Ratio and Spectral Gini Index for Rotating Machine Health Monitoring. - Dong Wang 001; Zhike Peng; Lifeng Xi (IEEE Trans Autom. Sci. Eng., 2021)

Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring. - Bingchang Hou; Dong Wang 001; Yi Wang 043; Tongtong Yan; Zhike Peng; Kwok-Leung Tsui (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)

Time-Varying Envelope Filtering for Exhibiting Space Bearing Cage Fault Features. - Sha Wei; Dong Wang 001; Hong Wang; Zhike Peng (IEEE Trans. Instrum. Meas., 2021)

Dual-Ensemble Multi-Feedback Neural Network for Gearbox Fault Diagnosis. - Tangbin Xia; Yimin Jiang; Pengcheng Zhuo; Lifeng Xi; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2021)

Definition of Signal-to-Noise Ratio of Health Indicators and Its Analytic Optimization for Machine Performance Degradation Assessment. - Tongtong Yan; Dong Wang 001; Jin-Zhen Kong; Tangbin Xia; Zhike Peng; Lifeng Xi (IEEE Trans. Instrum. Meas., 2021)

Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. - Jingjing Zhong; Dong Wang 001; Ju'e Guo; Diego Cabrera 001; Chuan Li 003 (IEEE Trans. Instrum. Meas., 2021)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis. - Qian Chen; Xingjian Dong; Guowei Tu; Dong Wang 001; Baoxuan Zhao; Zhike Peng (CoRR, 2022)

Joint adaptive transfer learning network for cross-domain fault diagnosis based on multi-layer feature fusion. - Yimin Jiang; Tangbin Xia; Dong Wang 001; Kaigan Zhang; Lifeng Xi (Neurocomputing, 2022)

A reliability-and-cost-based framework to optimize maintenance planning and diverse-skilled technician routing for geographically distributed systems. - Guojin Si; Tangbin Xia; Nagi Gebraeel; Dong Wang 001; Ershun Pan; Lifeng Xi (Reliab. Eng. Syst. Saf., 2022)

Technician Collaboration and Routing Optimization in Global Maintenance Scheduling for Multi-Center Service Networks. - Guojin Si; Tangbin Xia; Kaigan Zhang; Dong Wang 001; Ershun Pan; Lifeng Xi (IEEE Trans Autom. Sci. Eng., 2022)

A Generic Framework for Degradation Modeling Based on Fusion of Spectrum Amplitudes. - Tongtong Yan; Dong Wang 001; Tangbin Xia; Lifeng Xi (IEEE Trans Autom. Sci. Eng., 2022)

Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics. - Jin-Zhen Kong; Dong Wang 001; Tongtong Yan; Jingzhe Zhu; Xi Zhang 016 (IEEE Trans. Ind. Electron., 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)

Adversarial Regressive Domain Adaptation Approach for Infrared Thermography-Based Unsupervised Remaining Useful Life Prediction. - Yimin Jiang; Tangbin Xia; Dong Wang 001; Xiaolei Fang; Lifeng Xi (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)

OSESgram: Data-Aided Method for Selection of Informative Frequency Bands for Bearing Fault Diagnosis. - Bingchang Hou; Yikai Chen; Hong Wang; Zhike Peng; Kwok-Leung Tsui; Dong Wang 001 (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)

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)

Progressive Opportunistic Maintenance Policies for Service-Outsourcing Network With Prognostic Updating and Dynamical Optimization. - Tangbin Xia; Guojin Si; Dong Wang 001; Ershun Pan; Lifeng Xi (IEEE Trans. Reliab., 2022)

Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain. - Tongtong Yan; Dong Wang 001; Bingchang Hou; Zhike Peng (IEEE Trans. Reliab., 2022)

A Multiscale Sparse Ensemble Network for Machine Prognostics Based on Infrared Image Streams. - Yimin Jiang; Yuhui Xu; Yutong Ding; Meimei Zheng; Dong Wang 001; Tangbin Xia; Lifeng Xi (CASE, 2023)

Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library. - Xiao Feng; Dong Wang 001; Bingchang Hou; Tongtong Yan (Eng. Appl. Artif. Intell., 2023)

Acoustic Signals Recovering for Rubbing From Arbitrarily Structured Noise With Joint Iterative Probabilistic Sampling. - Ao Chen 003; Zhiyuan Wu; Dongwu Li; Dong Wang 001; Wen-Ming Zhang (IEEE Trans. Instrum. Meas., 2023)

A Calibration-Based Hybrid Transfer Learning Framework for RUL Prediction of Rolling Bearing Across Different Machines. - Yafei Deng; Shichang Du; Dong Wang 001; Yiping Shao; Delin Huang (IEEE Trans. Instrum. Meas., 2023)

Easier Computational Approach of Optimized Weights and Its Extensions for Learning Interpretable Machine Fault Features. - Bingchang Hou; Jie Liu 057; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

Optimal Noise Subtraction-Based Fault Components Extraction for Machinery Fault Diagnosis. - Bingchang Hou; Dong Wang 001 (IEEE Trans. Instrum. Meas., 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)

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)

An Improved Data Privacy Diagnostic Framework for Multiple Machinery Components Data Based on Swarm Learning Algorithm. - Shilong Sun 001; Haodong Huang; Tengyi Peng; Dong Wang 001 (IEEE Trans. Instrum. Meas., 2023)

Guest Editorial Special Section for Third International Conference on Sensing, Measurement, and Data Analytics in the Era of Artificial Intelligence (ICSMD 2022). - Dong Wang 001; Yuchen Song (IEEE Trans. Instrum. Meas., 2023)

Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment. - Yu Wang 187; Dong Wang 001; Tongtong Yan (IEEE Trans. Instrum. Meas., 2023)

Imbalanced Multifault Diagnosis via Improved Localized Feature Selection. - Yu Zhou 027; Lin Gao; Dong Wang 001; Wenhui Wu 001; Zhiqiang Zhou; Tingqun Ye (IEEE Trans. Instrum. Meas., 2023)

New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling. - Tongtong Yan; Dong Wang 001; Tangbin Xia; Ershun Pan; Zhike Peng; Lifeng Xi (IEEE Trans. Reliab., 2023)

Sparse and Flexible Convex-Hull Representation for Machine Degradation Modeling. - Tongtong Yan; Yuting Wang; Tangbin Xia; Bingchang Hou; Lifeng Xi; Dong Wang 001 (IEEE Trans. Reliab., 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)

New Short-Long-Term Degradation Model for Precise Battery Health Prognostics. - Jin-Zhen Kong; Di Cui; Bingchang Hou; Xingchen Liu; Dong Wang 001 (IEEE Trans. Ind. Electron., 2023)

Sparse Hierarchical Parallel Residual Networks Ensemble for Infrared Image Stream-Based Remaining Useful Life Prediction. - Yimin Jiang; Tangbin Xia; Xiaolei Fang; Dong Wang 001; Ershun Pan; Lifeng Xi (IEEE Trans. Ind. Informatics, 2023)

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)

SCG-GFFE: A Self-Constructed graph fault feature extractor based on graph Auto-encoder algorithm for unlabeled single-variable vibration signals of harmonic reducer. - Shilong Sun 001; Hao Ding; Zida Zhao; Wenfu Xu; Dong Wang 001 (Adv. Eng. Informatics, 2024)

Remaining useful life estimation based on selective ensemble of deep neural networks with diversity. - Tangbin Xia; Dongyang Han; Yimin Jiang; Yiping Shao; Dong Wang 001; Ershun Pan; Lifeng Xi (Adv. Eng. Informatics, 2024)

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection. - Tangbin Xia; Xueqi Xing; Tongtong Yan; Dong Wang 001; Ershun Pan; Lifeng Xi (Adv. Eng. Informatics, 2024)

Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring. - Tongtong Yan; Xueqi Xing; Tangbin Xia; Dong Wang 001 (Eng. Appl. Artif. Intell., 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)

Box-Cox transformation based state-space modeling as a unified prognostic framework for degradation linearization and RUL prediction enhancement. - Jie Liu 057; Bingchang Hou; Ming Lu; Dong Wang 001 (Reliab. Eng. Syst. Saf., 2024)

Quality-centered production and maintenance scheduling for multi-machine manufacturing systems under variable operating conditions. - Yu Wang 187; Tangbin Xia; Yuhui Xu; Guojin Si; Dong Wang 001; Ershun Pan; Lifeng Xi (Reliab. Eng. Syst. Saf., 2024)

A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data. - Yuhui Xu; Tangbin Xia; Yimin Jiang; Yu Wang 187; Dong Wang 001; Ershun Pan; Lifeng Xi (Reliab. Eng. Syst. Saf., 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)

Adaptive Fault Components Extraction by Using an Optimized Weights Spectrum Based Index for Machinery Fault Diagnosis. - Bingchang Hou; Dong Wang 001; Zhike Peng; Kwok-Leung Tsui (IEEE Trans. Ind. Electron., 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)

Adaptive Generalized Time Interval Cumulative Methodology for Optical Port Degradation Modeling in Cloud Computing Service. - Jie Liu 057; Dong Wang 001; Yujie Mou; Zikang Chen; Ming Lu (IEEE Trans. Instrum. Meas., 2024)

A Novel Cross-Domain Data Augmentation and Bearing Fault Diagnosis Method Based on an Enhanced Generative Model. - Shilong Sun 001; Hao Ding; Haodong Huang; Zida Zhao; Dong Wang 001; Wenfu Xu (IEEE Trans. Instrum. Meas., 2024)

Aeroengine Remaining Life Prediction Based on Advanced Health Index Construction and Gray Similarity Multiscale Matching. - Shilong Sun 001; Haodong Huang; Jian Ding; Dong Wang 001; Wenfu Xu (IEEE Trans. Instrum. Meas., 2024)

mmAcoustic: Full-Field Sound Source Localization, Identification, and Area-Selectable Sound Recovery via Millimeter-Wave Vibration Monitoring. - Yuyong Xiong; Xiangyi Tang; Songxu Li; Haibin Meng; Dong Wang 001; Guang Meng; Zhike Peng (IEEE Trans. Instrum. Meas., 2024)

Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling. - Tongtong Yan; Dong Wang 001; Wang Shi; Shiyu Hu; Ming Lu (IEEE Trans. Instrum. Meas., 2024)

Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis. - Tongtong Yan; Dong Wang 001; Yu Wang 187 (IEEE Trans. Instrum. Meas., 2024)

MCVAE-GAN: A Novel Diagnosis Method for Solving Harmonic Reducer Fault Signal Scarcity and Sample Diversity Problem. - Zida Zhao; Shilong Sun 001; Dong Wang 001; Wenfu Xu (IEEE Trans. Instrum. Meas., 2024)

A Spatiotemporal Dynamic Wavelet Network for Infrared Thermography-Based Machine Prognostics. - Yimin Jiang; Tangbin Xia; Dong Wang 001; Yuhui Xu; Rourou Li; Ershun Pan; Lifeng Xi (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Dynamic time scales ensemble framework for similarity-based remaining useful life prediction under multiple failure modes. - Yuhui Xu; Tangbin Xia; Dong Wang 001; Zhen Chen 017; Ershun Pan; Lifeng Xi (Eng. Appl. Artif. Intell., 2024)

Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm. - Meimei Zheng; Zhiyun Su; Dong Wang 001; Ershun Pan (Reliab. Eng. Syst. Saf., 2024)

Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling. - Tongtong Yan; Dong Wang 001; Tangbin Xia; Lifeng Xi (IEEE Trans. Reliab., 2024)

A Collaborative Scheduling Algorithm for Real-Time Production and Opportunistic Maintenance Under Cloud Manufacturing Paradigm. - Kaigan Zhang; Tangbin Xia; Guojin Si; Nagi Gebraeel; Dong Wang 001; Ershun Pan; Lifeng Xi (IEEE Trans. Reliab., 2024)

Joint Decisions of Components Replacement and Spare Parts Ordering Considering Different Supplied Product Quality. - Meimei Zheng; Hongqing Ye; Dong Wang 001; Ershun Pan (IEEE Trans Autom. Sci. Eng., 2024)

Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment. - Tongtong Yan; Dong Wang 001; Tangbin Xia; Ershun Pan; Zhike Peng; Lifeng Xi (IEEE Trans. Neural Networks Learn. Syst., 2024)

Intelligent Maintenance Framework for Reconfigurable Manufacturing With Deep-Learning-Based Prognostics. - Tangbin Xia; Yimin Jiang; Yutong Ding; Guojin Si; Dong Wang 001; Ershun Pan; Lifeng Xi (IEEE Internet Things J., 2024)

RESPEC: A Super-Resolution Algorithm for Multi-Target Sensing in OFDM-ISAC Systems. - Meiyu Yin; Jingwen Li; Qingsong Li; Dixiang Gao; Xiqing Liu; Dong Wang 001; Mugen Peng (WCNC, 2025)

SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops. - Xiaoqiang Liao; Dong Wang 001; Siqi Qiu; Min Xia 001; Xinguo Ming (Adv. Eng. Informatics, 2025)

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)

Wavelet-embedded heterogeneous collaborative learning framework for label noise-tolerant fault diagnosis under varying operating conditions. - Yuhui Xu; Tangbin Xia; Yiyang Wang; Xinyang Chen; Meimei Zheng; Dong Wang 001; Lifeng Xi (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)

Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. - Tongtong Yan; Xueqi Xing; Dong Wang 001; Kwok-Leung Tsui; Min Xia 001 (Inf. Fusion, 2025)

Component-Targeting Opportunistic Maintenance Policy for Multi-Machine System Considering Hierarchical Structural Dependencies. - Yutong Ding; Tangbin Xia; Kaigan Zhang; Dong Wang 001; Meimei Zheng; Ershun Pan; Lifeng Xi (IEEE Trans Autom. Sci. Eng., 2025)

Integrated Planning of Multiple Spare Parts Inventory, Warranty, and Service Engineers for a Service-Oriented Manufacturer. - Qingwei Wang; Chang Liu; Meimei Zheng; Dong Wang 001; Ershun Pan (IEEE Trans Autom. Sci. Eng., 2025)

Deep Learning-Based Sensor Selection for Failure Mode Recognition and Prognostics Under Time-Varying Operating Conditions. - Yuhui Wang 003; Andi Wang 001; Di Wang 019; Dong Wang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction. - Di Wang 019; Xiaochen Xian; Haidong Li; Dong Wang 001 (IEEE Trans Autom. Sci. Eng., 2025)

Generalized Exponential Degradation Model for a Tradeoff Between Prior and Posterior Model Parameters Distributions. - Yikai Chen; Dong Wang 001; Jie Liu 057; Qingyun Huang; Ming Lu (IEEE Trans. Instrum. Meas., 2025)

Sparsity Measures-Enhanced Targeted Diffusion Probabilistic Model for Acoustic Signal Recovery. - Ao Chen 003; Zhiyuan Wu; Dongwu Li; Dong Wang 001; Wen-Ming Zhang (IEEE Trans. Instrum. Meas., 2025)

Adaptive Online Discrete Degradation State Distribution Prediction Methodology for Cloud Computing Optical Fiber Ports. - Yujie Mou; Dong Wang 001; Jie Liu 057; Wang Shi; Shiyu Hu; Ming Lu (IEEE Trans. Instrum. Meas., 2025)

DLBN: A deep logic belief network for fault diagnosis of dust removal fans. - Xiaoqiang Liao; Dong Wang 001; Xinguo Ming; Siqi Qiu; Zuhua Jiang; Min Xia 001 (Inf. Fusion, 2026)