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ORCIDTongtong Yan
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2020 – today
- 2025
[j18]Tongtong Yan, Xueqi Xing, Dong Wang, Kwok-Leung Tsui, Min Xia:
Interpretable degradation tensor modeling through multi-scale and multi-level time-frequency feature fusion for machine health monitoring. Inf. Fusion 117: 102935 (2025)- [j17]Xueqi Xing, Tongtong Yan, Min Xia:
Early prediction of battery life using an interpretable health indicator with evolutionary computing. Reliab. Eng. Syst. Saf. 260: 110980 (2025) - 2024
- [j16]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: 102342 (2024) - [j15]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: 109046 (2024) - [j14]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: 1-11 (2024) - [j13]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: 1-13 (2024) - [j12]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): 6048-6060 (2024) - [j11]Tongtong Yan, Dong Wang, Tangbin Xia, Lifeng Xi:
Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling. IEEE Trans. Reliab. 73(1): 357-369 (2024) - 2023
- [j10]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: 106632 (2023) - [j9]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: 1-12 (2023) - [j8]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): 27-36 (2023) - [j7]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): 703-715 (2023) - 2022
- [j6]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): 308-319 (2022) - [j5]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): 11665-11674 (2022) - [j4]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: 1-12 (2022) - [j3]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): 1464-1476 (2022) - 2021
- [j2]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: 1-11 (2021) - [j1]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: 1-16 (2021)
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