Fault Diagnosis Method of Planetary Gearbox based on Wavelet Time-frequency Diagram and Convolutional Neural Network
Difficulties are always encountered when distinguish the fault types in the planetary gearbox diagnosis. A new fault diagnosis method with implementation of wavelet time-frequency diagram and convolutional neural network is proposed. At first,the continuous wavelet transform is used on the original...
Main Authors: | Jianhua Zhou, Pan Zheng, Shuaixing Wang, Shijing Wu, Xiaosun Wang |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2022-01-01
|
Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2022.01.022 |
Similar Items
-
Nonconvex Wavelet Thresholding Total Variation Denoising Method for Planetary Gearbox Fault Diagnosis
by: Pengcheng Jiang, et al.
Published: (2020-01-01) -
Fault Diagnosis of Small Sample Automobile Planetary Gearboxes Based on Continuous Wavelet Transform and Model Agnostic Meta Learning
by: Xinxin Lu, et al.
Published: (2022-01-01) -
Intelligent Fault Diagnosis Method of Wind Turbines Planetary Gearboxes Based on a Multi-Scale Dense Fusion Network
by: Xinghua Huang, et al.
Published: (2021-11-01) -
Fault Diagnosis of Gearbox based on Singular Spectrum and Redundant Lifting Wavelet Analysis
by: Kang Wei, et al.
Published: (2018-01-01) -
Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis
by: Junchao Guo, et al.
Published: (2018-09-01)