A Fault Feature Extraction Method for Gearbox with Composite Gear Train Based on EEMD and Translation-Invariant Multiwavelets Neighboring Coefficients
Author:
Publisher
Faculty of Mechanical Engineering
Subject
Mechanical Engineering,Mechanics of Materials
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. Early Detection of Defects in Gear Systems Using Autocorrelation of Morlet Wavelet Transforms;Strojniški vestnik - Journal of Mechanical Engineering;2022-02-02
2. A deep condition feature learning approach for rotating machinery based on MMSDE and optimized SAEs;Measurement Science and Technology;2020-12-02
3. Research on feature fusion strategy for gear states diagnosis based on fusion assessment.;Australian Journal of Mechanical Engineering;2020-11-27
4. Research on a Noise Reduction Method Based on DTCWT and the Cyclic Singular Energy Difference Spectrum;Strojniški vestnik – Journal of Mechanical Engineering;2020-10-15
5. A Transient Feature Learning-Based Intelligent Fault Diagnosis Method for Planetary Gearboxes;Strojniški vestnik – Journal of Mechanical Engineering;2020-06-15
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