Looseness diagnosis method for connecting bolt of fan foundation based on sensitive mixed-domain features of excitation-response and manifold learning-Reference-Cited by-同舟云学术

Looseness diagnosis method for connecting bolt of fan foundation based on sensitive mixed-domain features of excitation-response and manifold learning

Published:2017-01 Issue: Volume:219 Page:376-388
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chen Renxiang,Chen Siyang,Yang Lixia,Wang Jiaxu,Xu Xiangyang,Luo Tianhong

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Chongqing Research Program of Basic Research and Frontier Technology

Chongqing Education Commission

National Scholarship

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. Numerical analysis for reduced-scale road tunnel model equipped with axial jet fan ventilation system;Costantino;Energy Procedia,2014

2. Numerical comparison of performance between traditional and alternative jet fans in tiled tunnel in emergency ventilation;Musto;Tunn. Undergr. Space Technol.,2014

3. Numerical study of effects of deflected angles of jet fans on the normal ventilation in a curved tunnel;Wanga;Tunn. Undergr. Space Technol.,2012

4. Impact of location of jet fan on airflow structure in tunnel fire;Se;Tunn. Undergr. Space Technol.,2012

5. Fault diagnosis of partial rub and looseness in rotating machinery using Hilbert-Huang transform;Lee;J. Mech. Sci. Technol.,2008

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