Fault Diagnosis of Planetary Gearbox Based on Signal Denoising and Convolutional Neural Network
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8751729/8756333/08756478.pdf?arnumber=8756478
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. Planetary Gearbox Fault Diagnosis Based On a Multi-Convolutional Neural Network with SVMD and Feature Fusion Under Variable Speed Conditions;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02
2. A multi-scale feature fusion network-based fault diagnosis method for wind turbine bearings;Wind Engineering;2022-07-23
3. Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis;International Journal of Machine Learning and Cybernetics;2022-01-03
4. Gear fault diagnosis based on SGMD noise reduction and CNN;Journal of Advanced Mechanical Design, Systems, and Manufacturing;2022
5. Planetary gear train microcrack detection using vibration data and convolutional neural networks;Neural Computing and Applications;2021-07-20
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