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Rolling bearing fault diagnosis based on partially ensemble empirical mode decomposition and variable predictive model-based class discrimination

Crossref DOI link: https://doi.org/10.1016/j.acme.2016.05.003

Published Print: 2016-09

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Authors

Zheng, Jinde https://orcid.org/0000-0002-5160-7094
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51505002)

Key Program of Natural Science Research of Higher Education in Anhui Province (KJ2015A080)
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This article is maintained by: Elsevier

Article Title: Rolling bearing fault diagnosis based on partially ensemble empirical mode decomposition and variable predictive model-based class discrimination

Journal Title: Archives of Civil and Mechanical Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.acme.2016.05.003

Content Type: article

Copyright: © 2016 Politechnika Wrocławska. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.