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

Journal article

Ochella, S., Shafiee, M. and Sansom C 2022. An RUL-informed approach for life extension of high-value assets. Computers and Industrial Engineering. 171, pp. 1-15.
AuthorsOchella, S., Shafiee, M. and Sansom C

The 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.

KeywordsRemaining useful life (RUL); Life extension (LE); Prognostics and health management
JournalComputers and Industrial Engineering
Journal citation171, pp. 1-15
ISSN 0360-8352
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Output statusPublished
Publication dates
Online24 Jun 2022
Publication process dates
Deposited15 Mar 2024
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License: CC BY 4.0
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