A sustainability-based framework for predicting the remaining useful life of a complex engineering asset

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dc.contributor.authorVenkata Subhadua, Vaishnav
dc.contributor.authorAli, Zain
dc.contributor.authorFarsi, Maryam
dc.contributor.authorNorton, Andy
dc.date.accessioned2024-09-06T14:48:20Z
dc.date.available2024-09-06T14:48:20Z
dc.date.freetoread2024-09-06
dc.date.issued2024-06-07
dc.date.pubOnline2024-09-06
dc.description.abstractAs climate change became recognised as a major global challenge, the ability to define and account for the environmental performance of an asset became an important attribute aiding the sustainable development strategies towards net-zero. Remaining Useful Life (RUL) indicator allows for optimised maintenance scheduling and the life extension of an asset. However, the existing RUL prediction methods do not fully consider the environmental performance (EP) of an asset. This paper aims to develop a sustainability-based framework for complex engineering assets’ RUL prediction based on a systematic review of key literature. The proposed framework introduces a new concept, so-called ‘sustainable-RUL’ (SRUL), which refers to the estimated remaining lifetime that an item is able to function reliably and be environmentally sustainable. The Scopus database is used to develop the PRISMA framework. Finally, a generic S-RUL framework is introduced which incorporates the environmental sustainability aspect into the RUL prediction. Hence, the decision-maker is provided with a single predictive indicator, that accounts for the asset reliability and EP at the same level of granularity, thus facilitating the selection of maintenance policies that establishes a condition for ecological and economic stability.
dc.description.conferencename12th International Conference on Through-life Engineering Services – TESConf2024
dc.description.sponsorshipThis research was supported by the Centre of Digital Engineering and Manufacturing (CDEM) at Cranfield University. The authors acknowledge Rolls-Royce Plc for supporting this work.
dc.identifier.citationVenkata Subhadua V, Ali Z, Farsi M, Norton A. (2024) A sustainability-based framework for predicting the remaining useful life of a complex engineering asset. In: 12th International Conference on Through-life Engineering Services – TESConf2024, 6-7 June 2024, Cranfield, UK
dc.identifier.doi10.57996/cran.ceres-2627
dc.identifier.urihttps://doi.org/10.57996/cran.ceres-2627
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22907
dc.language.isoen
dc.publisherCranfield University
dc.publisher.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22907
dc.subjectSustainability
dc.subjectEnvironmental Performance
dc.subjectMaintenance
dc.subjectPrognosis
dc.subjectReliability
dc.subjectRemaining Useful Life Prediction
dc.subjectRUL
dc.titleA sustainability-based framework for predicting the remaining useful life of a complex engineering asset
dc.typeConference paper
dcterms.coverageCranfield, UK
dcterms.dateAccepted2024-03-25
dcterms.temporal.endDate07-Jun-2024
dcterms.temporal.startDate06-Jun-2024

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12th International Conference on Through-life Engineering Services 2024