Tongtong Yan
Orcid: 0000-0002-3757-0889
According to our database1,
Tongtong Yan
authored at least 15 papers
between 2021 and 2024.
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Bibliography
2024
Online Piecewise Convex-Optimization Interpretable Weight Learning for Machine Life Cycle Performance Assessment.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Novel Anchor Discrimination Learning for Physics-Informed Machine Degradation Modeling.
IEEE Trans. Reliab., March, 2024
Discrimination- and Sparsity-Driven Weight-Oriented Optimization Model for Interpretable Initial Fault Detection and Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling.
IEEE Trans. Instrum. Meas., 2024
Interpretable temporal degradation state chain based fusion graph for intelligent bearing fault detection.
Adv. Eng. Informatics, 2024
2023
IEEE Trans. Reliab., March, 2023
New Shapeness Property and Its Convex Optimization Model for Interpretable Machine Degradation Modeling.
IEEE Trans. Reliab., 2023
Optimal Squared Wald Statistics-Based Methodology for On-Line Machine Condition Monitoring and Degradation Assessment.
IEEE Trans. Instrum. Meas., 2023
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library.
Eng. Appl. Artif. Intell., 2023
2022
Generic Framework for Integration of First Prediction Time Detection With Machine Degradation Modelling from Frequency Domain.
IEEE Trans. Reliab., 2022
Integration of a Novel Knowledge-Guided Loss Function With an Architecturally Explainable Network for Machine Degradation Modeling.
IEEE Trans. Instrum. Meas., 2022
Accelerated Stress Factors Based Nonlinear Wiener Process Model for Lithium-Ion Battery Prognostics.
IEEE Trans. Ind. Electron., 2022
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.
IEEE Trans. Instrum. Meas., 2021
IEEE Trans. Instrum. Meas., 2021