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An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels i...

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels i...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33d3aaaeec594008ad9e2bee0cda616a

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes

About this item

Full title

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2023-02, Vol.25 (3), p.424

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Gears are reliable and robust elements that are found in any power transmission system. However, gears are prone to present incipient faults, such as wear, since they are constantly subjected to contact forces. Due to gears playing a key role in many industrial processes, it is important to develop condition monitoring strategies that ensure the pr...

Alternative Titles

Full title

An Entropy-Based Condition Monitoring Strategy for the Detection and Classification of Wear Levels in Gearboxes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_33d3aaaeec594008ad9e2bee0cda616a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_33d3aaaeec594008ad9e2bee0cda616a

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e25030424

How to access this item