Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorit...
Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm
About this item
Full title
Author / Creator
Liu, Yuhu , Chai, Yi , Liu, Bowen and Wang, Yiming
Publisher
Switzerland: MDPI
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI
Subjects
More information
Scope and Contents
Contents
This study proposes a novel resonance demodulation frequency band selection method named the initial center frequency-guided filter (ICFGF) to diagnose the bearing fault. The proposed technology has a better performance on resisting the interference from the random impulses. More explicitly, the ICFGF can be summarized as two steps. In the first st...
Alternative Titles
Full title
Bearing Fault Diagnosis Based on Energy Spectrum Statistics and Modified Mayfly Optimization Algorithm
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e795e193d307461dbd32b0f065f43a1b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e795e193d307461dbd32b0f065f43a1b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21062245
