A Systematic Literature Review of the Predictive Maintenance from Transportation Systems Aspect

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dc.authoridTurker, Ahmet Kursad/0000-0001-6686-9241
dc.authoridINAL, ALI FIRAT/0000-0001-7747-0746
dc.authoridERSOZ, Suleyman/0000-0002-7534-6837
dc.contributor.authorErsoz, Olcay Ozge
dc.contributor.authorInal, Ali Firat
dc.contributor.authorAktepe, Adnan
dc.contributor.authorTurker, Ahmet Kursad
dc.contributor.authorErsoz, Suleyman
dc.date.accessioned2025-01-21T16:35:26Z
dc.date.available2025-01-21T16:35:26Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractWith the rapid progress of network technologies and sensors, monitoring the sensor data such as pressure, temperature, current, vibration and other electrical, mechanical and chemical variables has become much more significant. With the arrival of Big Data and artificial intelligence (AI), sophisticated solutions can be developed to prevent failures and predict the equipment's remaining useful life (RUL). These techniques allow for taking maintenance actions with haste and precision. Accordingly, this study provides a systematic literature review (SLR) of the predictive maintenance (PdM) techniques in transportation systems. The main focus of this study is the literature covering PdM in the motor vehicles' industry in the last 5 years. A total of 52 studies were included in the SLR and examined in detail within the scope of our research questions. We provided a summary on statistical, stochastic and AI approaches for PdM applications and their goals, methods, findings, challenges and opportunities. In addition, this study encourages future research by indicating the areas that have not yet been studied in the PdM literature.
dc.identifier.doi10.3390/su142114536
dc.identifier.issn2071-1050
dc.identifier.issue21
dc.identifier.scopus2-s2.0-85141669124
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/su142114536
dc.identifier.urihttps://hdl.handle.net/20.500.12587/24122
dc.identifier.volume14
dc.identifier.wosWOS:000882091100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofSustainability
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectpredictive maintenance; transportation systems; systematic literature review
dc.titleA Systematic Literature Review of the Predictive Maintenance from Transportation Systems Aspect
dc.typeReview Article

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