Qiuyu Song

Orcid: 0000-0002-7683-0567

According to our database1, Qiuyu Song authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Comprehensive feature integrated capsule network for Machinery fault diagnosis.
Expert Syst. Appl., 2025

2024
Spectral structure inducing efficient variational model for enhancing bearing fault feature.
Signal Process., March, 2024

Multi-sensor data fusion-enabled semi-supervised optimal temperature-guided PCL framework for machinery fault diagnosis.
Inf. Fusion, January, 2024

Modified Feature Mode Decomposition Guided by Spectral Structure Information for Machinery Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024

Self-multivariate spectral decomposition and mode-fused envelope spectrum for enhancing bearing fault feature.
Digit. Signal Process., 2024

Spectral boundary detecting model: A promising tool for adaptive mode extraction and machinery fault diagnosis.
Adv. Eng. Informatics, 2024

2023
BA-GNN: Behavior-aware graph neural network for session-based recommendation.
Frontiers Comput. Sci., December, 2023

Deep hypergraph autoencoder embedding: An efficient intelligent approach for rotating machinery fault diagnosis.
Knowl. Based Syst., 2023

2022
Self-Adaptive Multivariate Variational Mode Decomposition and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Adaptive Swarm Decomposition Guided by Spectral Characteristic Information Scanner and Its Application for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022

Kernel-based fuzzy local information clustering algorithm self-integrating non-local information.
Digit. Signal Process., 2022

A novel self-learning weighted fuzzy local information clustering algorithm integrating local and non-local spatial information for noise image segmentation.
Appl. Intell., 2022

An Enhanced Sparse Filtering Fusion Method for Bearing Fault Diagnosis.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022


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