Maosheng Gao

According to our database, Maosheng Gao authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Trustable Data-Driven Optimal Power Flow Computational Method With Robust Generalization Ability.

Maosheng Gao, Juan Yu, Salah Kamel, Zhifang Yang

IEEE Trans. Neural Networks Learn. Syst., May, 2025

2024

Physics Embedded Graph Convolution Neural Network for Power Flow Calculation Considering Uncertain Injections and Topology.

Maosheng Gao, Juan Yu, Zhifang Yang, Junbo Zhao

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.

Zhiwu Shang, Jie Zhang, Wanxiang Li, Shiqi Qian, Jingyu Liu, Maosheng Gao

Neural Process. Lett., October, 2023

A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder.

Wanxiang Li, Zhiwu Shang, Jie Zhang, Maosheng Gao, Shiqi Qian

Eng. Appl. Artif. Intell., 2023

2022

Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions.

Wanxiang Li, Zhiwu Shang, Maosheng Gao, Shiqi Qian, Zehua Feng

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.

Wanxiang Li, Zhiwu Shang, Shiqi Qian, Baoren Zhang, Jie Zhang, Maosheng Gao

Expert Syst. Appl., 2022

2021

A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery.

Wanxiang Li, Zhiwu Shang, Maosheng Gao, Shiqi Qian, Baoren Zhang, Jie Zhang

Eng. Appl. Artif. Intell., 2021