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A computer vision approach to improve maintenance automation for thermal power plants lubrication sy...

A computer vision approach to improve maintenance automation for thermal power plants lubrication sy...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1108_JQME_01_2023_0007

A computer vision approach to improve maintenance automation for thermal power plants lubrication systems

About this item

Full title

A computer vision approach to improve maintenance automation for thermal power plants lubrication systems

Publisher

Bradford: Emerald Publishing Limited

Journal title

Journal of quality in maintenance engineering, 2023-09, Vol.29 (5), p.120-137

Language

English

Formats

Publication information

Publisher

Bradford: Emerald Publishing Limited

More information

Scope and Contents

Contents

PurposeLubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of timely maintenance. Currently, inspection operations are mostly carried out manually, resulting in time-consuming pr...

Alternative Titles

Full title

A computer vision approach to improve maintenance automation for thermal power plants lubrication systems

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1108_JQME_01_2023_0007

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1108_JQME_01_2023_0007

Other Identifiers

ISSN

1355-2511

E-ISSN

1758-7832

DOI

10.1108/JQME-01-2023-0007

How to access this item