An RUL-informed approach for life extension of high-value assets

Simple item page
dc.contributor.authorOchella, Sunday
dc.contributor.authorShafiee, Mahmood
dc.contributor.authorSansom, Christopher L.
dc.date.accessioned2022-07-20T14:05:01Z
dc.date.available2022-07-20T14:05:01Z
dc.date.issued2022-06-24
dc.description.abstractThe conventional approaches for life-extension (LE) of industrial assets are largely qualitative and focus only on a few indicators at the end of an asset’s design life. However, an asset may consist of numerous individual components with different useful lives and therefore applying a single LE strategy to every component will not result in an efficient outcome. In recent years, many advanced analytics techniques have been proposed to estimate the remaining useful life (RUL) of the assets equipped with sensor technology. This paper proposes a data-driven model for LE decision-making based on RUL values predicted on a real-time basis during the asset’s operational life. Our proposed LE model is conceptually targeted at the component, unit, or subsystem level; however, an asset-level decision is made by aggregating information across all components. Consequently, LE is viewed and assessed as a series of ongoing activities, albeit carefully orchestrated in a manner similar to operation and maintenance (O&M). The application of the model is demonstrated using the publicly available NASA C-MAPSS dataset for large commercial turbofan engines. This approach will be very beneficial to asset owners and maintenance engineers as it seamlessly weaves LE strategies into O&M activities, thus optimizing resources.en_UK
dc.identifier.citationOchella S, Shafiee M, Sansom C. (2022) An RUL-informed approach for life extension of high-value assets, Computers and Industrial Engineering, Volume 171, September 2022, Article number 108332en_UK
dc.identifier.issn0360-8352
dc.identifier.urihttps://doi.org/10.1016/j.cie.2022.108332
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18201
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectRemaining useful life (RUL)en_UK
dc.subjectLife extension (LE)en_UK
dc.subjectPrognostics and health management (PHM)en_UK
dc.subjectMachine learning (ML)en_UK
dc.subjectReliability centered maintenance (RCM)en_UK
dc.subjectTurbofan enginesen_UK
dc.titleAn RUL-informed approach for life extension of high-value assetsen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Life_extension_of_high-value_assets-2022.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SWEE)