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Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adap...

Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adap...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af03c0dcfae04064af96c90ec2e61c95

Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation

About this item

Full title

Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-09, Vol.23 (19), p.8096

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Incipient fault detection in a hydraulic system is a challenge in the condition monitoring community. Existing research mainly monitors abnormal working conditions in hydraulic systems by separately detecting the key working parameter, which often causes a high miss warning rate for incipient faults due to the oversight of parameter dependence. A p...

Alternative Titles

Full title

Incipient Fault Detection in a Hydraulic System Using Canonical Variable Analysis Combined with Adaptive Kernel Density Estimation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_af03c0dcfae04064af96c90ec2e61c95

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_af03c0dcfae04064af96c90ec2e61c95

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23198096

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