Research on gear fault diagnosis based on feature fusion optimization and improved two hidden layer extreme learning machine-Reference-Cited by-同舟云学术

Research on gear fault diagnosis based on feature fusion optimization and improved two hidden layer extreme learning machine

Published:2021-06 Issue: Volume:177 Page:109317
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Pan Lizheng,Zhao Lu,Song Aiguo,She Shigang,Wang Shunchao

Funder

National Natural Science Foundation of China

Graduate Research and Innovation Projects of Jiangsu Province

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference44 articles.

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2. Gear fault diagnosis basis on continuous wavelet transform;Zheng;Mech. Syst. Signal Pro.,2002

3. Gear fault diagnosis method based on wavelet-packet independent component analysis and support vector machine with kernel function fusion;Pan;Adv. Mech. Eng.,2018

4. Novel Particle Swarm Optimization-Based Variational Mode Decomposition Method for the Fault Diagnosis of Complex Rotating Machinery;Wang;IEEE-ASME T. Mech.,2018

5. Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension;Han;J. Mech. Sci. Technol.,2019

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