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Ziqiang Pu
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2020 – today
- 2024
- [j10]Khalid El Amraoui
, Ziqiang Pu, Lahcen Koutti
A super resolution method based on generative adversarial networks with quantum feature enhancement: Application to aerial agricultural images. Neurocomputing 577: 127346 (2024) - [j9]Xiaoyun Gong, Mengxuan Hao, Chuan Li, Wenliao Du, Ziqiang Pu:
Dual-loss nonlinear independent component estimation for augmenting explainable vibration samples of rotating machinery faults. Neurocomputing 610: 128508 (2024) - [j8]Shuai Yang, Xu Chen, Yu Wang, Yun Bai, Ziqiang Pu:
Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery. Int. J. Mach. Learn. Cybern. 15(11): 5279-5290 (2024) - [j7]Ziqiang Pu
Incrementally Generative Adversarial Diagnostics Using Few-Shot Enabled One-Class Learning. IEEE Trans. Ind. Informatics 20(10): 12189-12199 (2024) - 2023
- [j6]Ziqiang Pu
Sliced Wasserstein cycle consistency generative adversarial networks for fault data augmentation of an industrial robot. Expert Syst. Appl. 222: 119754 (2023) - [j5]Ziqiang Pu
Generative adversarial one-shot diagnosis of transmission faults for industrial robots. Robotics Comput. Integr. Manuf. 83: 102577 (2023) - 2022
- [j4]Ziqiang Pu
VGAN: Generalizing MSE GAN and WGAN-GP for Robot Fault Diagnosis. IEEE Intell. Syst. 37(3): 65-75 (2022) - [j3]Ziqiang Pu
A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. IEEE Trans. Ind. Electron. 69(8): 8411-8419 (2022) - [j2]Wenliao Du
From Anomaly Detection to Novel Fault Discrimination for Wind Turbine Gearboxes With a Sparse Isolation Encoding Forest. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - 2021
- [j1]Ziqiang Pu
Fault Diagnosis for Wind Turbine Gearboxes by Using Deep Enhanced Fusion Network. IEEE Trans. Instrum. Meas. 70: 1-11 (2021)
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