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

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dc.contributor.authorLoukopoulos, Panagiotis
dc.contributor.authorZolkiewski, George
dc.contributor.authorBennett, Ian
dc.contributor.authorSampath, Suresh
dc.contributor.authorPilidis, Pericles
dc.contributor.authorDuan, Fang
dc.contributor.authorSattar, Tariq
dc.contributor.authorMba, David
dc.date.accessioned2018-01-17T09:45:34Z
dc.date.available2018-01-17T09:45:34Z
dc.date.issued2017-12-14
dc.description.abstractReciprocating 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 T2 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_UK
dc.identifier.citationPanagiotis Loukopoulos, George Zolkiewski, Ian Bennett, et al., Reciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurements, Applied Acoustics, Volume 147, April 2019, Pages 77-86en_UK
dc.identifier.cris19203403
dc.identifier.issn0003-682X
dc.identifier.urihttps://doi.org/10.1016/j.apacoust.2017.12.003
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/12897
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectReciprocating compressoren_UK
dc.subjectValveen_UK
dc.subjectPrognosticsen_UK
dc.subjectRemaining useful lifeen_UK
dc.subjectMultiple linear regressionen_UK
dc.subjectPolynomial regressionen_UK
dc.subjectK-nearest neighboursen_UK
dc.subjectInstantaneous failureen_UK
dc.subjectPrincipal components analysisen_UK
dc.subjectStatistical process controlen_UK
dc.titleReciprocating compressor prognostics of an instantaneous failure mode utilising temperature only measurementsen_UK
dc.typeArticleen_UK

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