An optimal condition-based maintenance policy for a degrading system subject to the competing risks of soft and hard failure. - Diyin Tang; Jinsong Yu; Xiongzi Chen; Viliam Makis (Comput. Ind. Eng., 2015)

Optimal maintenance policy and residual life estimation for a slowly degrading system subject to condition monitoring. - Diyin Tang; Viliam Makis; Leila Jafari; Jinsong Yu (Reliab. Eng. Syst. Saf., 2015)

Implementation and verification of prognostics and health management system using a configurable system of systems architecture. - Song Han; Jinsong Yu; Diyin Tang; Hao Liu; Jinsong Yu (ICPHM, 2016)

A remaining useful life prediction approach for lithium-ion batteries using Kalman filter and an improved particle filter. - Baohua Mo; Jingsong Yu; Diyin Tang; Hao Liu (ICPHM, 2016)

Remaining Discharge Time Prognostics of Lithium-Ion Batteries Using Dirichlet Process Mixture Model and Particle Filtering Method. - Jinsong Yu; Liang Shuang; Diyin Tang; Liu Hao (IEEE Trans. Instrum. Meas., 2017)

Degradation Modeling and Performance Monitoring of Electro-optical Detection System via Dynamic Bayesian Network. - Jinsong Yu; Yiyu Shi 002; Diyin Tang; Hao Liu (IEEM, 2018)

A prediction method for discharge voltage of lithium-ion batteries under unknown dynamic loads. - Jinsong Yu; Weiqi Tang; Diyin Tang; Jingjing Liu (Microelectron. Reliab., 2018)

Optimizing sequential diagnostic strategy for large-scale engineering systems using a quantum-inspired genetic algorithm: A comparative study. - Jinsong Yu; Yiyu Shi 002; Diyin Tang; Hao Liu; Limei Tian (Appl. Soft Comput., 2019)

An approach to predicpt discharge voltage of lithium-ion batteries under dynamic loading conditions. - Jinsong Yu; Weiqi Tang; Diyin Tang; Jiuqing Wan; Jingjing Liu (J. Ambient Intell. Humaniz. Comput., 2019)

Multi-phase integrated scheduling of hybrid tasks in cloud manufacturing environment. - Yuanjun Laili; Sisi Lin; Diyin Tang (Robotics Comput. Integr. Manuf., 2020)

Telemetry Data-Based Spacecraft Anomaly Detection With Spatial-Temporal Generative Adversarial Networks. - Jinsong Yu; Yue Song; Diyin Tang; Danyang Han; Jing Dai (IEEE Trans. Instrum. Meas., 2021)

A RP image-based health indicator construction method for wind turbine RUL prediction. - Danyang Han; Jinsong Yu; Diyin Tang; Lingkun Kong; Xin Li (I2MTC, 2022)

Anomaly Detection in Spacecraft Telemetry Data using Graph Convolution Networks. - Yue Song; Jinsong Yu; Diyin Tang; Jie Yang; Lingkun Kong; Xin Li (I2MTC, 2022)

System-Level Performance Prediction for Infrared Systems Based on Energy Redistribution in Infrared Images. - Diyin Tang; Mengtong Gong; Jinsong Yu; Liwei Guo; Junwei Di (IEEE Trans. Ind. Electron., 2022)

Health Indicator Construction of High-Speed Rotating Bearings in Aerospace CMG Based on Physics-Inspired Machine-Learning Approach. - Diyin Tang; Mengtong Gong; Limei Tian; Jinsong Yu; Jiyang Zhang 002; Qiang Zhang (IEEE Trans. Instrum. Meas., 2022)

Digital Twin-Driven Degradation Modeling Method for Control Moment Gyroscope Health Management. - Runhao Cui; Xucong Huang; Peng Zhang; Diyin Tang (BigDataService, 2023)

Short-Term Forecasting Based on Graph Convolution Networks and Multiresolution Convolution Neural Networks for Wind Power. - Yue Song; Diyin Tang; Jinsong Yu; Zetian Yu; Xin Li (IEEE Trans. Ind. Informatics, 2023)

Health Assessment for RUL Prediction of Machinery Components Using Low-Sampling Temporal Signals: A Condensed Image Coding Approach. - Danyang Han; Diyin Tang; Jinsong Yu; Zhenzhong Wei; Yue Song (IEEE Trans. Instrum. Meas., 2023)

Health Indicator Construction Based on Multisensors for Intelligent Remaining Useful Life Prediction: A Reinforcement Learning Approach. - Zhaoqin Peng; Xucong Huang; Diyin Tang; Quan Quan (IEEE Trans. Instrum. Meas., 2023)

Interpretable Anomalous Event Detection with Uniform Dynamic Alignment of Time Series in Aircraft Aviation Safety. - Jie Yang; Diyin Tang; Jinsong Yu; Limei Tian (ICSRS, 2024)

An interpretable precursor-driven hierarchical model for predictive aircraft safety. - Jie Yang 079; Jinsong Yu; Diyin Tang; Zhanbao Gao; Can Feng; Tao Liu (Eng. Appl. Artif. Intell., 2024)

Detection of Voltage Fault in Lithium-Ion Battery Based on Equivalent Circuit Model-Informed Neural Network. - Yue Song; Jinsong Yu; Jinhan Zhou; Jian Zhang; Diyin Tang; Zetian Yu (IEEE Trans. Instrum. Meas., 2024)

Construction of Interpretable Health Indicators for System-Level Fault Prognosis Driven by Inductive Generative Learning. - Jinhan Zhou; Diyin Tang; Jinsong Yu; Yue Song; Xuhui Li; Hao Liu (IEEE Trans. Instrum. Meas., 2024)

Explaining Anomalous Events in Flight Data of UAV With Deep Attention-Based Multi-Instance Learning. - Jie Yang 079; Diyin Tang; Jinsong Yu; Jian Zhang 080; Haigang Liu (IEEE Trans. Veh. Technol., 2024)

A physics-informed autoencoder for system health state assessment based on energy-oriented system performance. - Xucong Huang; Zhaoqin Peng; Diyin Tang; Juan Chen; Enrico Zio; Zaiping Zheng (Reliab. Eng. Syst. Saf., 2024)

Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound. - Muhammad Latif; Hira Ambreen; Diyin Tang; Farrukh Hassan; Muhammad Imran 012; Saddam Hussain Abbasi; Muhammad Imran 003 (IEEE Access, 2025)

Coverage-guaranteed speech emotion recognition via calibrated uncertainty-adaptive prediction sets. - Zijun Jia; Diyin Tang; Hongyu Long; Jinsong Yu (Eng. Appl. Artif. Intell., 2025)