Feiyun Xu

13 papers C 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
An unsupervised mixed-up differential replay mechanism for propagation detection of blade crack.
Adv. Eng. Informatics
Junxian Shen, Ennan Gao, Tianchi Ma, Feiyun Xu
2025 J jnl
Persistent Homology Deep Meta-Transfer Learning for Intelligent Fault Diagnosis of Storage Stacking Machinery Under High-Speed and Heavy-Load Conditions.
IEEE Trans. Instrum. Meas.
Yang Li, Xiangyin Meng, Shide Xiao, Feiyun Xu
2025 J jnl
TransDehaze: transformer-enhanced texture attention for end-to-end single image dehaze.
Vis. Comput.
Xun Zhao, Feiyun Xu, Zheng Liu
2023 C conf
A novel blade crack detection method based on diffusion model with acoustic-vibration fusion.
INDIN
Xun Zhao, Feiyun Xu, Di Song, Junxian Shen, Tianchi Ma
2023 — conf
Multi-sensor Signals Processing and Information Fusion for Structural Health Monitoring of Rotary Machinery with Multiple Faults.
ICCIP
Di Song, Feiyun Xu
2023 J jnl
Self-Supervised Metalearning Generative Adversarial Network for Few-Shot Fault Diagnosis of Hoisting System With Limited Data.
IEEE Trans. Ind. Informatics
Yang Li, Feiyun Xu, Chi-Guhn Lee
2021 — conf
Intelligent Diagnosis of Classroom Teaching Structure under TESTII Framework.
ICETC
Feiyun Xu, Zhong Sun
2020 J jnl
A Novel Acoustic Emission Sources Localization and Identification Method in Metallic Plates Based on Stacked Denoising Autoencoders.
IEEE Access
Yang Li, Feiyun Xu
2020 J jnl
An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case.
Neurocomputing
Lei Zou, Yang Li, Feiyun Xu
2020 C conf
Asphalt pavement segregation detection method based on LBP-GLCM.
INDIN
Xun Zhao, Feiyun Xu
2020 J jnl
Correction to "Nonlinear Model Identification Method for Crane Damage Detection Without Baseline Data".
IEEE Access
Bowei Li, Feiyun Xu
2019 J jnl
Nonlinear Model Identification Method for Crane Damage Detection Without Baseline Data.
IEEE Access
Bowei Li, Feiyun Xu
2016 J jnl
Improvement on the linear and nonlinear auto-regressive model for predicting the NOx emission of diesel engine.
Neurocomputing
Jiaxin Ma, Feiyun Xu, Kai Huang, Ren Huang