PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions-Reference-Cited by-同舟云学术

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PeriodNet: Noise-Robust Fault Diagnosis Method Under Varying Speed Conditions

Published:2023 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Li Ruixian¹^ORCID,Wu Jianguo²^ORCID,Li Yongxiang³^ORCID,Cheng Yao¹

Affiliation:

1. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China

2. Department of Industrial Engineering and Management, Peking University, Beijing, China

3. Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Shanghai Pujiang Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10130447.pdf?arnumber=10130447

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interpretable modulated differentiable STFT and physics-informed balanced spectrum metric for freight train wheelset bearing cross-machine transfer fault diagnosis under speed fluctuations;Advanced Engineering Informatics;2024-10

2. Shuffle-fusion pyramid network for bearing fault diagnosis under noisy environments;Measurement Science and Technology;2024-08-22

3. Regularized Periodic Gaussian Process for Nonparametric Sparse Feature Extraction From Noisy Periodic Signals;IEEE Transactions on Automation Science and Engineering;2024

4. Robust Separation-Enhanced NRC Method for Multiple Periodicity Detection: Applications in Bearing Compound Fault Diagnosis;IEEE Transactions on Instrumentation and Measurement;2024

5. Hyperparameter Analysis of Wide-Kernel CNN Architectures in Industrial Fault Detection - An Exploratory Study;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

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