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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

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)

Early prediction of battery life using an interpretable health indicator with evolutionary computing. - Xueqi Xing; Tongtong Yan; Min Xia 001 (Reliab. Eng. Syst. Saf., 2025)