An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings un...
An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds
About this item
Full title
Author / Creator
Cui, Jinmiao , Hu, Minghui , Feng, Kun and He, Ya
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Journal title
Language
English
Formats
Publication information
Publisher
Cairo, Egypt: Hindawi Publishing Corporation
Subjects
More information
Scope and Contents
Contents
The compressive sensing (CS) theory provides a new slight to the big-data problem led by the Shannon sampling theorem in rolling element bearings condition monitoring, where the measurement matrix of CS tends to be designed by the random matrix (RM) to preserve the integrity of signal roughly. However, when the signal to be analyzed is infected wit...
Alternative Titles
Full title
An MCM-Enhanced Compressive Sensing for Weak Fault Feature Extraction of Rolling Element Bearings under Variable Speeds
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_10a1bc8bdebe453b94eaf8e269245574
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_10a1bc8bdebe453b94eaf8e269245574
Other Identifiers
ISSN
1070-9622
E-ISSN
1875-9203
DOI
10.1155/2020/1745184
