Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements

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dc.contributor.author Loukopoulosa, Panagiotis en
dc.contributor.author Zolkiewski, George en
dc.contributor.author Bennett, Ian en
dc.contributor.author Sampath, Suresh en
dc.contributor.author Pilidisa, Pericles en
dc.contributor.author Duan, Fang en
dc.contributor.author Sattar, Tariq en
dc.contributor.author Mba, David en
dc.date.accessioned 2017-12-18T10:25:40Z
dc.date.available 2017-12-18T10:25:40Z
dc.date.issued 2017-12-14
dc.identifier.citation Loukopoulosa, P. et al. (2017) Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements. Applied Acoustics, online first en
dc.identifier.uri http://hdl.handle.net/2086/15012
dc.description The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link. en
dc.description.abstract Reciprocating compressors are critical components in the oil and gas sector, though their maintenance cost is known to be relatively high. Compressor valves are the weakest component, being the most frequent failure mode, accounting for almost half the maintenance cost. One of the major targets in industry is minimisation of downtime and cost, while maximising availability and safety of a machine, with maintenance considered a key aspect in achieving this objective. The concept of Condition Based Maintenance and Prognostics and Health Management (CBM/PHM) which is founded on the diagnostics and prognostics principles, is a step towards this direction as it offers a proactive means for scheduling maintenance. Despite the fact that diagnostics is an established area for reciprocating compressors, to date there is limited information in the open literature regarding prognostics, especially given the nature of failures can be instantaneous. This work presents an analysis of prognostic performance of several methods (multiple linear regression, polynomial regression, K-Nearest Neighbours Regression (KNNR)), in relation to their accuracy and variability, using actual temperature only valve failure data, an instantaneous failure mode, from an operating industrial compressor. Furthermore, a variation for Remaining Useful Life (RUL) estimation based on KNNR, along with an ensemble technique merging the results of all aforementioned methods are proposed. Prior to analysis, principal components analysis and statistical process control were employed to create T^2 and Q metrics, which were proposed to be used as health indicators reflecting degradation process of the valve failure mode and are proposed to be used for direct RUL estimation for the first time. Results demonstrated that even when RUL is relatively short due to instantaneous nature of failure mode, it is feasible to perform good RUL estimates using the proposed techniques. en
dc.language.iso en en
dc.publisher Elsevier en
dc.subject remaining useful life en
dc.subject prognostics en
dc.subject multiple linear regression en
dc.subject K-nearest neighbours en
dc.title Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements en
dc.type Article en
dc.identifier.doi https://doi.org/10.1016/j.apacoust.2017.12.003
dc.peerreviewed Yes en
dc.funder N/A en
dc.projectid N/A en
dc.cclicence CC-BY-NC-ND en
dc.date.acceptance 2017-12-04 en


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