Xuyun Fu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines.
Expert Syst. Appl., March, 2024

HOOST: A novel hyperplane-oriented over-sampling technique for imbalanced fault detection of aero-engines.
Knowl. Based Syst., 2024

2023
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines.
Comput. Ind., October, 2023

CSiamese: a novel semi-supervised anomaly detection framework for gas turbines via reconstruction similarity.
Neural Comput. Appl., August, 2023

Investigation of the Retrieval Dynamics of the Tethered Satellites Using ANCF-ALE Variable-Length Element.
IEEE Trans. Aerosp. Electron. Syst., April, 2023

Gravity particle swarm optimization algorithm for solving shop visit balancing problem for repairable equipment.
Eng. Appl. Artif. Intell., 2023

2022
Data Augmentation via Randomized Wavelet Expansion and Its Application in Few-Shot Fault Diagnosis of Aviation Hydraulic Pumps.
IEEE Trans. Instrum. Meas., 2022

CAE-WANN: A novel anomaly detection method for gas turbines via search space extension.
Qual. Reliab. Eng. Int., 2022

Highly imbalanced fault diagnosis of mechanical systems based on wavelet packet distortion and convolutional neural networks.
Adv. Eng. Informatics, 2022

Highly imbalanced fault diagnosis of gas turbines via clustering-based downsampling and deep siamese self-attention network.
Adv. Eng. Informatics, 2022

2021
Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis.
IEEE Trans. Ind. Electron., 2021

A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering.
Sensors, 2021

2020
Deep Residual Shrinkage Networks for Fault Diagnosis.
IEEE Trans. Ind. Informatics, 2020

2019
A novel unsupervised anomaly detection for gas turbine using Isolation Forest.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2016
An improved correlation-based anomaly detection approach for condition monitoring data of industrial equipment.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2016

2013
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2009
Aeroengine Turbine Exhaust Gas Temperature Prediction Using Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2009


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