Maosheng Gao
Orcid: 0000-0003-1200-4992
According to our database1,
Maosheng Gao authored at least 8 papers
between 2021 and 2026.
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Bibliography
2026
Physics-informed auto-encoder based on digital twin for rolling bearing fault diagnosis under imbalanced sample conditions.
Eng. Appl. Artif. Intell., 2026
2025
A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability.
IEEE Trans. Neural Networks Learn. Syst., May, 2025
2024
Physics Embedded Graph Convolution Neural Network for Power Flow Calculation Considering Uncertain Injections and Topology.
IEEE Trans. Neural Networks Learn. Syst., November, 2024
2023
A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network.
Neural Process. Lett., October, 2023
A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder.
Eng. Appl. Artif. Intell., 2023
2022
Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions.
Reliab. Eng. Syst. Saf., 2022
A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network.
Expert Syst. Appl., 2022
2021
A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery.
Eng. Appl. Artif. Intell., 2021