Diyin Tang
Orcid: 0000-0001-5002-9694
According to our database1,
Diyin Tang
authored at least 22 papers
between 2015 and 2024.
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Bibliography
2024
A physics-informed autoencoder for system health state assessment based on energy-oriented system performance.
Reliab. Eng. Syst. Saf., February, 2024
Explaining Anomalous Events in Flight Data of UAV With Deep Attention-Based Multi-Instance Learning.
IEEE Trans. Veh. Technol., January, 2024
Detection of Voltage Fault in Lithium-Ion Battery Based on Equivalent Circuit Model-Informed Neural Network.
IEEE Trans. Instrum. Meas., 2024
2023
Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach.
IEEE Trans. Instrum. Meas., 2023
Health Assessment for RUL Prediction of Machinery Components Using Low-Sampling Temporal Signals: A Condensed Image Coding Approach.
IEEE Trans. Instrum. Meas., 2023
Short-Term Forecasting Based on Graph Convolution Networks and Multiresolution Convolution Neural Networks for Wind Power.
IEEE Trans. Ind. Informatics, 2023
Digital Twin-Driven Degradation Modeling Method for Control Moment Gyroscope Health Management.
Proceedings of the IEEE Ninth International Conference on Big Data Computing Service and Applications, 2023
2022
Health Indicator Construction of High-Speed Rotating Bearings in Aerospace CMG Based on Physics-Inspired Machine-Learning Approach.
IEEE Trans. Instrum. Meas., 2022
System-Level Performance Prediction for Infrared Systems Based on Energy Redistribution in Infrared Images.
IEEE Trans. Ind. Electron., 2022
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
A RP image-based health indicator construction method for wind turbine RUL prediction.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022
2021
Telemetry Data-Based Spacecraft Anomaly Detection With Spatial-Temporal Generative Adversarial Networks.
IEEE Trans. Instrum. Meas., 2021
2020
Multi-phase integrated scheduling of hybrid tasks in cloud manufacturing environment.
Robotics Comput. Integr. Manuf., 2020
2019
An approach to predicpt discharge voltage of lithium-ion batteries under dynamic loading conditions.
J. Ambient Intell. Humaniz. Comput., 2019
Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study.
Appl. Soft Comput., 2019
2018
A prediction method for discharge voltage of lithium-ion batteries under unknown dynamic loads.
Microelectron. Reliab., 2018
Degradation Modeling and Performance Monitoring of Electro-optical Detection System via Dynamic Bayesian Network.
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018
2017
Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method.
IEEE Trans. Instrum. Meas., 2017
2016
A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016
Implementation and verification of prognostics and health management system using a configurable system of systems architecture.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016
2015
Optimal maintenance policy and residual life estimation for a slowly degrading system subject to condition monitoring.
Reliab. Eng. Syst. Saf., 2015
An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure.
Comput. Ind. Eng., 2015