Yong Zhang
Orcid: 0000-0002-1537-4588Affiliations:
- Wuhan University of Science and Technology, School of Information Science and Engineering, Wuhan, China
- Huazhong University of Science and Technology, Department of Control Science and Engineering, Wuhan, China (PhD 2010)
According to our database1,
Yong Zhang
authored at least 28 papers
between 2010 and 2023.
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Bibliography
2023
What Are the Users' Needs? Design of a User-Centered Explainable Artificial Intelligence Diagnostic System.
Int. J. Hum. Comput. Interact., April, 2023
Diagnosis of arrhythmias with few abnormal ECG samples using metric-based meta learning.
Comput. Biol. Medicine, February, 2023
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries.
Knowl. Based Syst., 2023
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach.
IEEE CAA J. Autom. Sinica, 2023
2022
Bearing Remaining Useful Life Prediction Based on Regression Shapalet and Graph Neural Network.
IEEE Trans. Instrum. Meas., 2022
Homecare-Oriented ECG Diagnosis With Large-Scale Deep Neural Network for Continuous Monitoring on Embedded Devices.
IEEE Trans. Instrum. Meas., 2022
Neurocomputing, 2022
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network.
Expert Syst. Appl., 2022
2021
Fault diagnosis with synchrosqueezing transform and optimized deep convolutional neural network: An application in modular multilevel converters.
Neurocomputing, 2021
Remaining useful life prediction of tool with BiGRU-Attention and improved Particle Filter.
Proceedings of the CAA Symposium on Fault Detection, 2021
2020
Torus-Event-Based Fault Diagnosis for Stochastic Multirate Time-Varying Systems With Constrained Fault.
IEEE Trans. Cybern., 2020
Nat. Mach. Intell., 2020
Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression.
Neurocomputing, 2020
A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series.
Neurocomputing, 2020
Remaining useful life prediction of lithium-ion battery with optimal input sequence selection and error compensation.
Neurocomputing, 2020
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.
Proceedings of the 18th European Control Conference, 2020
2019
IEEE Trans. Autom. Control., 2019
Diagnosis and location of the open-circuit fault in modular multilevel converters: An improved machine learning method.
Neurocomputing, 2019
Diagnose of Sub-module Fault in Modular Multilevel Converters Based on Moving Average Method.
Proceedings of the CAA Symposium on Fault Detection, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Online Bearing Remaining Useful Life Prediction Based on a Novel Degradation Indicator and Convolutional Neural Networks.
CoRR, 2018
2017
IEEE Trans. Aerosp. Electron. Syst., 2017
2013
H<sub>∞</sub> fault detection for nonlinear networked systems with multiple channels data transmission pattern.
Inf. Sci., 2013
2012
Fault detection for nonlinear networked control systems with stochastic interval delay characterisation.
Int. J. Syst. Sci., 2012
Fault Detection for Nonlinear Networked Control Systems with Markov Data Transmission Pattern.
Circuits Syst. Signal Process., 2012
Stability analysis for uncertain neutral systems with discrete and distributed delays.
Appl. Math. Comput., 2012
2011
Robust fault detection filter design for networked control systems with delay distribution characterisation.
Int. J. Syst. Sci., 2011
2010
Novel delay-dependent robust stability criteria for neutral stochastic delayed neural networks.
Neurocomputing, 2010