Tongtong Yan

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Tennessee Eastman

Condition Monitoring

Fault Detection

Optimization Model

Top Venues

IEEE Trans. Instrum. Meas.

IEEE Trans. Reliab.

Eng. Appl. Artif. Intell.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Tangbin Xia, Xueqi Xing, Tongtong Yan, Dong Wang, Ershun Pan, Lifeng Xi
Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection. Adv. Eng. Informatics 59 (2024)
Tongtong Yan, Dong Wang, Yu Wang
Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis. IEEE Trans. Instrum. Meas. 73 (2024)
Tongtong Yan, Dong Wang, Wang Shi, Shiyu Hu, Ming Lu
Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling. IEEE Trans. Instrum. Meas. 73 (2024)
Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi
Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling. IEEE Trans. Reliab. 73 (1) (2024)
Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi
Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Tongtong Yan, Xueqi Xing, Tangbin Xia, Dong Wang
Relation between fault characteristic frequencies and local interpretability shapley additive explanations for continuous machine health monitoring. Eng. Appl. Artif. Intell. 136 (2024)
Tongtong Yan, Dong Wang, Tangbin Xia, Ershun Pan, Zhike Peng, Lifeng Xi
New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling. IEEE Trans. Reliab. 72 (2) (2023)
Xiao Feng, Dong Wang, Bingchang Hou, Tongtong Yan
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library. Eng. Appl. Artif. Intell. 124 (2023)
Yu Wang, Dong Wang, Tongtong Yan
Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment. IEEE Trans. Instrum. Meas. 72 (2023)
Tongtong Yan, Yuting Wang, Tangbin Xia, Bingchang Hou, Lifeng Xi, Dong Wang
Sparse and Flexible Convex-Hull Representation for Machine Degradation Modeling. IEEE Trans. Reliab. 72 (1) (2023)
Jin-Zhen Kong, Dong Wang, Tongtong Yan, Jingzhe Zhu, Xi Zhang
Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics. IEEE Trans. Ind. Electron. 69 (11) (2022)
Tongtong Yan, Yichu Fu, Ming Lu, Zhinong Li, Changqing Shen, Dong Wang
Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling. IEEE Trans. Instrum. Meas. 71 (2022)
Tongtong Yan, Dong Wang, Bingchang Hou, Zhike Peng
Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain. IEEE Trans. Reliab. 71 (4) (2022)
Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi
A Generic Framework for Degradation Modeling Based on Fusion of Spectrum Amplitudes. IEEE Trans Autom. Sci. Eng. 19 (1) (2022)
Bingchang Hou, Dong Wang, Yi Wang, Tongtong Yan, Zhike Peng, Kwok-Leung Tsui
Adaptive Weighted Signal Preprocessing Technique for Machine Health Monitoring. IEEE Trans. Instrum. Meas. 70 (2021)
Tongtong Yan, Dong Wang, Jin-Zhen Kong, Tangbin Xia, Zhike Peng, Lifeng Xi
Definition of Signal-to-Noise Ratio of Health Indicators and Its Analytic Optimization for Machine Performance Degradation Assessment. IEEE Trans. Instrum. Meas. 70 (2021)