Mingliang Suo
Orcid: 0000-0002-8733-7268
According to our database1,
Mingliang Suo
authored at least 18 papers
between 2018 and 2025.
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Bibliography
2025
A normal-fault sample translator for fault diagnosis with insufficient fault samples.
Expert Syst. Appl., 2025
2024
An Outline of Prognostics and Health Management Large Model: Concepts, Paradigms, and Challenges.
CoRR, 2024
Fault diagnosis of satellite power system based on unsupervised knowledge acquisition and decision-making.
Adv. Eng. Informatics, 2024
2022
Hierarchical cognize framework for the multi-fault diagnosis of the interconnected system based on domain knowledge and data fusion.
Expert Syst. Appl., 2022
2021
An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model.
Comput. Ind. Eng., 2021
Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework.
Appl. Soft Comput., 2021
State-of-Health Prediction for Reaction Wheel of On-Orbit Satellite Based on Fourier Broad Learning System.
IEEE Access, 2021
State-of-Health Assessment for Aero-Engine Based on Density-Distance Clustering and Fuzzy Bayesian Risk.
IEEE Access, 2021
2020
Extension of labeled multiple attribute decision making based on fuzzy neighborhood three-way decision.
Neural Comput. Appl., 2020
Stability analysis and <i>L</i><sub>1</sub>-gain characterization for impulsive positive systems with time-varying delay.
J. Frankl. Inst., 2020
Degradation Dynamics Cognition and Prediction of Li-Ion Battery: An Integrated Methodology for Alleviating Range Anxiety.
IEEE Access, 2020
2019
Appl. Intell., 2019
Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach.
Adv. Eng. Informatics, 2019
2018
Stability and L<sub>1</sub>-Gain Analysis for Positive Takagi-Sugeno Fuzzy Systems With Impulse.
IEEE Trans. Fuzzy Syst., 2018
Pattern Recognit. Lett., 2018
Fuzzy Bayes risk based on Mahalanobis distance and Gaussian kernel for weight assignment in labeled multiple attribute decision making.
Knowl. Based Syst., 2018
Mixed <i>H</i><sub>∞</sub> and passivity control for a class of stochastic nonlinear sampled-data systems.
J. Frankl. Inst., 2018