Novel source domain filtering dual classifier network with adaptive pseudo label refinement for partial domain fault diagnosis DOI
Xiaolin Liu, Fuzheng Liu,

Tongzhuo Han

et al.

Neurocomputing, Journal Year: 2024, Volume and Issue: unknown, P. 129260 - 129260

Published: Dec. 1, 2024

Language: Английский

A novel fault diagnosis of high-speed train axle box bearings with adaptive curriculum self-paced learning under noisy labels DOI
Kai Zhang, Bingwen Wang, Qing Zheng

et al.

Structural Health Monitoring, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Due to uncontrollable or objective reasons, mismarked labels (i.e., noise labels) are inevitably generated in the supervised fault diagnosis dataset of train axle box bearings. Self-paced learning is an effective method deal with noise, but it needs set additional hyperparameters, which limits its application. Therefore, this paper proposes a novel based on adaptive curriculum self-paced resistance under noisy labels. First, uses discrete wavelet packet transform perform localized analysis one-dimensional signals both time and frequency domains. Second, memory effect convolutional neural networks exploited learn predefined curriculum. In framework, epoch statistics proposed select confidence samples update curriculum, provides meaningful information for model be trained next. Third, loss combined original function used optimize selected samples. The was validated using fault-bearing from Paderborn University high-speed bogie simulation test bench. Even uniform ranging 0% 50%, achieved over 90% accuracy datasets.

Language: Английский

Citations

2
A new adaptive multi-scale attention adversarial network for cross-domain fault diagnosis DOI
Lingtan Kong, Jinrui Wang, Dawei Wang

et al.

Knowledge-Based Systems, Journal Year: 2025, Volume and Issue: unknown, P. 113066 - 113066

Published: Jan. 1, 2025

Language: Английский

Citations

1
MGTN-DSI: A multi-sensor graph transfer network considering dual structural information for fault diagnosis under varying working conditions DOI

Jianjie Liu,

Xianfeng Yuan, Xilin Yang

et al.

Advanced Engineering Informatics, Journal Year: 2025, Volume and Issue: 65, P. 103119 - 103119

Published: Jan. 15, 2025

Language: Английский

Citations

0
A feature cross-fusion HGCN based on feature distillation denoising for fault diagnosis of helicopter tail drive system DOI
Zhaohui Qiao, Aijun Yin, Quan He

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126587 - 126587

Published: Jan. 1, 2025

Language: Английский

Citations

0
Bi-structural spatial–temporal network for few-shot fault diagnosis of rotating machinery DOI
Zixu Chen, Jinchen Ji, Qing Ni

et al.

Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 227, P. 112378 - 112378

Published: Jan. 28, 2025

Language: Английский

Citations

0
Continuous hierarchical symbolic deviation entropy: A more robust entropy and its application to rolling bearing fault diagnosis DOI
Jie Zhou, Shiwu Li, Jinyan Guo

et al.

Mechanical Systems and Signal Processing, Journal Year: 2025, Volume and Issue: 227, P. 112409 - 112409

Published: Jan. 31, 2025

Language: Английский

Citations

0
VibrMamba: A lightweight Mamba based fault diagnosis of rotating machinery using vibration signal DOI
Haiming Yi, Danyu Li, Zhenyong Lu

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116881 - 116881

Published: Feb. 1, 2025

Language: Английский

Citations

0
Dual-stage manifold preserving mixed supervised learning for bogie fault diagnosis under variable conditions DOI
Ning Wang, Limin Jia, Yong Qin

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 149, P. 110512 - 110512

Published: March 12, 2025

Language: Английский

Citations

0
A Cost-Sensitive Multi-scale Feature Multi-order Fusion Network for Bearing Fault Diagnosis Under Data Imbalance Conditions DOI

Shuaiqing Deng,

Zihao Lei, Guangrui Wen

et al.

Lecture notes in electrical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 94 - 106

Published: Jan. 1, 2025

Language: Английский

Citations

0
Label self-correction intelligent diagnosis method and embedded system for axle box bearings of high-speed trains with noisy labels DOI

Y.M. Li,

Yang Gao, Bin Yang

et al.

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129998 - 129998

Published: March 1, 2025

Language: Английский

Citations

0