Ziqiang Pu

According to our database, Ziqiang Pu authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery.

Shuai Yang, Xu Chen, Yu Wang, Yun Bai, Ziqiang Pu

Int. J. Mach. Learn. Cybern., November, 2024

Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning.

Ziqiang Pu, Lijuan Yan, Yun Bai, Diego Cabrera, Chuan Li

IEEE Trans. Ind. Informatics, October, 2024

Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults.

Xiaoyun Gong, Mengxuan Hao, Chuan Li, Wenliao Du, Ziqiang Pu

Neurocomputing, 2024

A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images.

Khalid El Amraoui, Ziqiang Pu, Lahcen Koutti, Lhoussaine Masmoudi, José Valente de Oliveira

Neurocomputing, 2024

2023

Generative adversarial one-shot diagnosis of transmission faults for industrial robots.

Ziqiang Pu, Diego Cabrera, Yun Bai, Chuan Li

Robotics Comput. Integr. Manuf., October, 2023

Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot.

Ziqiang Pu, Diego Cabrera, Chuan Li, José Valente de Oliveira

Expert Syst. Appl., July, 2023

2022

From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest.

Wenliao Du, Zhen Guo, Chuan Li, Xiaoyun Gong, Ziqiang Pu

IEEE Trans. Instrum. Meas., 2022

A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses.

Ziqiang Pu, Diego Cabrera, Yun Bai, Chuan Li

IEEE Trans. Ind. Electron., 2022

VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis.

Ziqiang Pu, Diego Cabrera, Chuan Li, José Valente de Oliveira

IEEE Intell. Syst., 2022

2021

Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network.

Ziqiang Pu, Chuan Li, Shaohui Zhang, Yun Bai

IEEE Trans. Instrum. Meas., 2021