Quantitative evaluation of electric features for health monitoring and assessment of AC-powered solenoid operated valves

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dc.contributor.authorOmpusunggu, Agusmian Partogi
dc.contributor.authorHostens, Erik
dc.date.accessioned2024-01-10T15:14:17Z
dc.date.available2024-01-10T15:14:17Z
dc.date.issued2023-11-22
dc.description.abstractQuantitative assessment of feature performance for health monitoring is key to feature selection. This paper illustrates the application of well-established metrics in the research community - namely, monotonicity, robustness and prognosability - to the quantitative performance assessment of features for health monitoring of alternating-current (AC) powered solenoid operated valves (SOVs). These features are extracted from voltage and current signals measured on the valves and builds on previous work of the authors. Based on these metrics, the appropriate features are selected to be used as condition indicators. The selected features are inputs to a logistic regression model to predict a health index ranging from 0 to 1, which can be easily monitored and assessed by non-experts. We demonstrated the developed methodology on the experimental data acquired from accelerated life tests on 48 identical AC-powered SOVs.en_UK
dc.description.sponsorshipThis research was supported by both Flanders Make, the strategic research center for the manufacturing industry, and VLAIO, Flanders Innovation and Entrepreneurship, within the framework of the MODA-ICON project.en_UK
dc.identifier.citationOmpusunggu AP, Hostens E. (2023) Quantitative evaluation of electric features for health monitoring and assessment of AC-powered solenoid operated valves. IFAC-PapersOnLine, Volume 56, Issue 2, pp. 3725-3731. 22nd IFAC World Congress, 9-14 July 2023, Yokohama, Japanen_UK
dc.identifier.eissn2405-8963
dc.identifier.issn2405-8971
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2023.10.1540
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20637
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.subjectSolenoid Valvesen_UK
dc.subjectLogistic Regressionen_UK
dc.subjectCondition Monitoringen_UK
dc.subjectPrognostics and Health Managementen_UK
dc.titleQuantitative evaluation of electric features for health monitoring and assessment of AC-powered solenoid operated valvesen_UK
dc.typeConference paperen_UK
dcterms.dateAccepted2022-06-12

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