Boyuan Yang

Orcid: 0000-0002-5248-0929

Affiliations:
  • Nanjing University, Center for Advanced Control and Smart Operations, Suzhou, China
  • Nankai University, College of Artificial Intellegence, Tianjin, China
  • Manchester University, School of Electrical and Electronic Engineering, Manchester, UK
  • Xi'an Jiaotong University, Xi'an, China (PhD 2019)


According to our database1, Boyuan Yang authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Enhancing Domain Generalization in Rotating Machinery Fault Diagnosis Through Diffusion Model-Based Data Augmentation.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Class-Aware Semi-Supervised Contrastive Learning with Pseudo-Label Guidance for Bearing Fault Diagnosis.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Dynamic Confusion-Aware Correlation Network for Cross-Domain Fault Diagnosis.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024

2023
TF-FDGAN: Unsupervised Bearing Fault Detection Based on Time-Frequency Transform and Generative Adversarial Networks.
Proceedings of the CAA Symposium on Fault Detection, 2023

2022
Self-supervised Contrastive Learning Approach for Bearing Fault Diagnosis with Rare Labeled Data.
Proceedings of the 31st IEEE International Symposium on Industrial Electronics, 2022

2020
Simultaneous Bearing Fault Recognition and Remaining Useful Life Prediction Using Joint-Loss Convolutional Neural Network.
IEEE Trans. Ind. Informatics, 2020

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Ind. Informatics, 2020

2019
Fast Nonlinear Chirplet Dictionary-Based Sparse Decomposition for Rotating Machinery Fault Diagnosis Under Nonstationary Conditions.
IEEE Trans. Instrum. Meas., 2019

Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture.
IEEE Trans. Ind. Electron., 2019

2018
Sparse Time-Frequency Representation for Incipient Fault Diagnosis of Wind Turbine Drive Train.
IEEE Trans. Instrum. Meas., 2018

2017
Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD.
IEEE Trans. Ind. Informatics, 2017

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine.
IEEE Trans. Ind. Informatics, 2017

Compressed-Sensing-Based Periodic Impulsive Feature Detection for Wind Turbine Systems.
IEEE Trans. Ind. Informatics, 2017

2016
Feature Identification With Compressive Measurements for Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2016


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