Runchao Zhao

According to our database, Runchao Zhao authored at least 9 papers between 2023 and 2025.

Collaborative distances:

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

2025

Random convolution layer: an auxiliary method to improve fault diagnosis performance.

Zhiqian Zhao, Runchao Zhao, Yinghou Jiao

J. Intell. Manuf., October, 2025

DPCCNN: A new lightweight fault diagnosis model for small samples and high noise problem.

Jiabin Zhang, Zhiqian Zhao, Yinghou Jiao, Runchao Zhao, Xiuli Hu, Renwei Che

Neurocomputing, 2025

A supervised contrastive learning method based on online complement strategy for long-tailed fine-grained fault diagnosis.

Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, Runchao Zhao

Adv. Eng. Informatics, 2025

Design and Analysis of a Novel Metamaterial with Tunable Coefficient of Thermal Expansion.

Chunfeng Li, Hong Xiao, Guang Yang, Hongwei Guo, Yan Xia, Runchao Zhao, Jianguo Tao, Rongqiang Liu

Proceedings of the Intelligent Robotics and Applications - 18th International Conference, 2025

2024

Task-Generalization-Based Graph Convolutional Network for Fault Diagnosis of Rod-Fastened Rotor System.

Zhiqian Zhao, Runchao Zhao, Yeyin Xu, Yinghou Jiao

IEEE Trans. Ind. Informatics, March, 2024

A Semi-supervised Gaussian Mixture Variational Autoencoder method for few-shot fine-grained fault diagnosis.

Zhiqian Zhao, Yeyin Xu, Jiabin Zhang, Runchao Zhao, Zhaobo Chen, Yinghou Jiao

Neural Networks, 2024

Semi-analytical predictions of multi-stable independent periodic motions and bifurcation evolution in a nonlinear bolted rotor system.

Runchao Zhao, Yinghou Jiao, Yeyin Xu, Zhitong Li, Zengtao Chen, Zhaobo Chen

Commun. Nonlinear Sci. Numer. Simul., 2024

Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating.

Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, Zhaobo Chen, Runchao Zhao

Adv. Eng. Informatics, 2024

2023

A meta-learning network with anti-interference for few-shot fault diagnosis.

Zhiqian Zhao, Runchao Zhao, Xianglin Wu, Xiuli Hu, Renwei Che, Xiang Zhang, Yinghou Jiao

Neurocomputing, October, 2023