Tongtong Yan

According to our database, Tongtong Yan authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Kwok-Leung Tsui, Min Xia

Inf. Fusion, 2025

2024

Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment.

Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling.

Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi

IEEE Trans. Reliab., March, 2024

Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis.

Tongtong Yan, Dong Wang, Yu Wang

IEEE Trans. Instrum. Meas., 2024

Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling.

Tongtong Yan, Dong Wang, Wang Shi, Shiyu Hu, Ming Lu

IEEE Trans. Instrum. Meas., 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

Eng. Appl. Artif. Intell., 2024

Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection.

Tangbin Xia, Xueqi Xing, Tongtong Yan, Dong Wang, Ershun Pan, Lifeng Xi

Adv. Eng. Informatics, 2024

2023

Sparse and Flexible Convex-Hull Representation for Machine Degradation Modeling.

Tongtong Yan, Yuting Wang, Tangbin Xia, Bingchang Hou, Lifeng Xi, Dong Wang

IEEE Trans. Reliab., March, 2023

New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling.

Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi

IEEE Trans. Reliab., 2023

Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment.

Yu Wang, Dong Wang, Tongtong Yan

IEEE Trans. Instrum. Meas., 2023

Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library.

Xiao Feng, Dong Wang, Bingchang Hou, Tongtong Yan

Eng. Appl. Artif. Intell., 2023

2022

Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain.

Tongtong Yan, Dong Wang, Bingchang Hou, Zhike Peng

IEEE Trans. Reliab., 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

IEEE Trans. Instrum. Meas., 2022

Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics.

Jin-Zhen Kong, Dong Wang, Tongtong Yan, Jingzhe Zhu, Xi Zhang

IEEE Trans. Ind. Electron., 2022

A Generic Framework for Degradation Modeling Based on Fusion of Spectrum Amplitudes.

Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi

IEEE Trans Autom. Sci. Eng., 2022

2021

Definition of Signal-to-Noise Ratio of Health Indicators and Its Analytic Optimization for Machine Performance Degradation Assessment.

Tongtong Yan, Dong Wang, Jin-Zhen Kong, Tangbin Xia, Zhike Peng, Lifeng Xi

IEEE Trans. Instrum. Meas., 2021

Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring.

Bingchang Hou, Dong Wang, Yi Wang, Tongtong Yan, Zhike Peng, Kwok-Leung Tsui

IEEE Trans. Instrum. Meas., 2021