Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Measurement Science Review
Volume 16 (2016): Issue 3 (June 2016)
Open Access
A Feature Extraction Method for Vibration Signal of Bearing Incipient Degradation
Haifeng Huang
Haifeng Huang
Search for this author on
Sciendo
|
Google Scholar
Huang, Haifeng
,
Huajiang Ouyang
Huajiang Ouyang
Search for this author on
Sciendo
|
Google Scholar
Ouyang, Huajiang
,
Hongli Gao
Hongli Gao
Search for this author on
Sciendo
|
Google Scholar
Gao, Hongli
,
Liang Guo
Liang Guo
Search for this author on
Sciendo
|
Google Scholar
Guo, Liang
,
Dan Li
Dan Li
Search for this author on
Sciendo
|
Google Scholar
Li, Dan
and
Juan Wen
Juan Wen
Search for this author on
Sciendo
|
Google Scholar
Wen, Juan
Jun 11, 2016
Measurement Science Review
Volume 16 (2016): Issue 3 (June 2016)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jun 11, 2016
Page range:
149 - 159
Received:
Jan 05, 2016
Accepted:
May 27, 2016
DOI:
https://doi.org/10.1515/msr-2016-0018
Keywords
Feature extraction
,
incipient degradation
,
bearing
,
Blind Separation Source
,
Spectral Kurtosis
© 2016 Haifeng Huang et al., published by De Gruyter Open
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.