ROLLING BEARING WEAK FAULT FEATURE EXTRACTION METHOD WITH ALIF⁃NLM

ROLLING BEARING WEAK FAULT FEATURE EXTRACTION METHOD WITH ALIF⁃NLM

Aiming at the problem that the early weak fault feature was difficult to extract of rolling bearing under the strong noise background,combined with the advantages of adaptive local iterative filter(ALIF)and non⁃local means(NLM)method,an ALIF⁃NLM bearing weak fault feature extraction method was propo...

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Bibliographic Details
Main Authors: WANG Ying, SONG YuBo, ZHU DaPeng
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2024-10-01
Series:Jixie qiangdu
Subjects:
Strong noise
Rolling bearing
ALIF
Particle swarm optimization
NLM
Weak feature extraction
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2024.05.002
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