Advances in Condition Monitoring, Diagnosis and Vibration Control of Smart Spindles
Author:
Publisher
Chinese Journal of Mechanical Engineering
Subject
Applied Mathematics,Computer Science Applications,Mechanical Engineering
Cited by 5 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. Rolling bearing fault diagnosis method based on MTF and PC-MDCNN;Journal of Mechanical Science and Technology;2024-07
2. Fuzzy Condition Indicator of Spindle of Machining Center Based on Vibration Parameters;Applied Condition Monitoring;2023
3. Periodic impact feature extraction for bearings fault based on envelope correlation kurtosis of singular value components;2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2022-12-16
4. Rolling bearing fault diagnosis by Markov transition field and multi-dimension convolutional neural network;Measurement Science and Technology;2022-08-30
5. Fault Diagnosis of Rolling Bearing Based on Improved Convolutional Neural Network;2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS);2022-08-03
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