Using the Kaplan–Meier Estimator to Assess the Reliability of Agricultural Machinery

cris.virtual.author-orcid0000-0003-4811-005X
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-8897-6459
cris.virtualsource.author-orcidebe065e1-88e3-4328-92a9-62cb28d0570e
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcidd0f13f67-14d4-453a-9b21-2771d083450d
dc.abstract.enKaplan–Meier analyses can be used in many disciplines, e.g., agricultural engineering. Agricultural machinery and vehicles can be regarded as objects that ‘die’ because, like living creatures, they failed, although after repair they can be used until scrapped. This article presents an example of using the Kaplan–Meier estimator to plot the reliability function curves of five different models of Zetor farm tractors. The research shows that the median operating time for one of the tested models, which is about 200 engine-operating hours, is 20% lower than for the entire population of analyzed Zetor tractors. This means that the quality of the model, which is very popular in Poland, differs significantly from the other models of this manufacturer. The method cannot be validated, due to a lack of similar functions for other brands of tractors. Progressive automation and digitization of agriculture can contribute to improving the reliability of agriculture work. The user can focus on the correct performance of agrotechnical treatments, and modern control systems will signal in real time, about identified or approaching costly failures.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorDurczak, Karol
dc.contributor.authorSelech, Jarosław
dc.contributor.authorEkielski, Adam
dc.contributor.authorŻelaziński, Tomasz
dc.contributor.authorWaleński, Marcin
dc.contributor.authorWitaszek, Kamil
dc.date.access2025-12-11
dc.date.accessioned2025-12-15T07:12:17Z
dc.date.available2025-12-15T07:12:17Z
dc.date.copyright2022-06-05
dc.date.issued2022
dc.description.abstract<jats:p>Kaplan–Meier analyses can be used in many disciplines, e.g., agricultural engineering. Agricultural machinery and vehicles can be regarded as objects that ‘die’ because, like living creatures, they failed, although after repair they can be used until scrapped. This article presents an example of using the Kaplan–Meier estimator to plot the reliability function curves of five different models of Zetor farm tractors. The research shows that the median operating time for one of the tested models, which is about 200 engine-operating hours, is 20% lower than for the entire population of analyzed Zetor tractors. This means that the quality of the model, which is very popular in Poland, differs significantly from the other models of this manufacturer. The method cannot be validated, due to a lack of similar functions for other brands of tractors. Progressive automation and digitization of agriculture can contribute to improving the reliability of agriculture work. The user can focus on the correct performance of agrotechnical treatments, and modern control systems will signal in real time, about identified or approaching costly failures.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,7
dc.description.number6
dc.description.points100
dc.description.versionfinal_published
dc.description.volume12
dc.identifier.doi10.3390/agronomy12061364
dc.identifier.issn2073-4395
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/6390
dc.identifier.weblinkhttp://www.mdpi.com/2073-4395/12/6/1364/htm
dc.languageen
dc.relation.ispartofAgronomy
dc.relation.pagesart. 1364
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.enagricultural engineering
dc.subject.entractors
dc.subject.encensored data
dc.subject.ensmart decision-making
dc.subject.enagriculture 4.0
dc.subject.enautomation
dc.titleUsing the Kaplan–Meier Estimator to Assess the Reliability of Agricultural Machinery
dc.title.volumeSpecial Issue Farm Machinery Automation for Tillage, Planting, Sowing, Cultivation, and Harvesting
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue6
oaire.citation.volume12