Fault diagnosis of gearbox based on RBF-PF and particle swarm optimization wavelet neural network-Reference-Cited by-同舟云学术

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Fault diagnosis of gearbox based on RBF-PF and particle swarm optimization wavelet neural network

Published:2018-05-21 Issue:9 Volume:31 Page:4463-4478
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Yang Liu,Chen Hanxin

Funder

National Natural Science Foundation of China

Program for New Century Excellent Talents in University of Minister of Education of China

Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3525-y.pdf

Reference24 articles.

1. Chen H, Shang Y, Sun K (2013) Multiple fault condition recognition of gearbox with sequential hypothesis test. Mech Syst Signal Process 40:469–482

2. Wang D, Sun S, Peter WT (2015) A general sequential Monte Carlo method based optimal wavelet filter: a Bayesian approach for extracting bearing fault features. Mech Syst Signal Process 52:293–308

3. Kerdphol T, Qudaih Y, Watanabe M, Mitani Y (2016) RBF neural network-based online intelligent management of a battery energy storage system for stand-alone microgrids. Energy, Sustain Soc 6(1):5

4. Chen H, Lu Y, Tu L (2013) Fault identification of gearbox degradation with optimized wavelet neural network. Shock Vib 20(2):247–262

5. Fucai L, Guang M, Lin Y, Peng C (2008) Wavelet transform-based higher-order statistics for fault diagnosis in rolling element bearings. J Vib Control 14(11):1691–1709

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