A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings

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Publication Details

Journal
Journal of Marine Engineering & Technology
Published
2024-08-21
DOI
https://doi.org/10.1080/20464177.2024.2393484
Citations
9
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
2.95

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article

A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings

Çağlar Karatuğ, Bulut Ozan Ceylan, Yasin Arslanoğlu
9 citations
Journal of Marine Engineering & Technology
Machine Fault Diagnosis Techniques
2.95
article

A hybrid predictive maintenance approach for ship machinery systems: a case of main engine bearings

Çağlar Karatuğ, Bulut Ozan Ceylan, Yasin Arslanoğlu
article en
9 citations

Abstract

No abstract available for this paper.
Journal of Marine Engineering & TechnologyVol. 24(1)
Bandırma Onyedi Eylül University (TR), Istanbul Technical University (TR)
Istanbul Teknik Üniversitesi
Openalex Percentile: Top 9%
Machine Fault Diagnosis Techniques
2.95
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