A new approach for remaining useful life prediction of bearings using 1D-ternary patterns with LSTM

Basit Öğe Kaydı
dc.contributor.authorAkcan, Eyyup
dc.contributor.authorKaya, Yilmaz
dc.date.accessioned2024-12-24T19:25:05Z
dc.date.available2024-12-24T19:25:05Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractBearings frequently experience malfunctions in mechanical systems, directly impacting system performance. Accurate prediction of bearing failures is crucial for maintenance planning and preventing unexpected system breakdowns. Data-driven prognostic techniques are commonly employed to estimate the remaining useful life (RUL) of high-speed bearings. RUL prediction relies on establishing the fundamental relationship between bearing degradation and its current health status, with the accuracy depending on effective feature extraction from the bearing data. In this study, a novel approach is proposed for the RUL prediction of bearings. The 1D-TP method is applied to vibration signals, resulting in two feature vectors, LOWER and UPPER, which are then utilized in combination with LSTM for RUL prediction. The proposed approach is evaluated using a dataset from the PRONOSTIA platform, and performance metrics including MAE, RMSE, SMAPE, RA, and Score are determined. The results demonstrate that the 1D-TP + LSTM method successfully predicts the remaining life of bearings. Accurate RUL assessment and reliability analysis aid personnel in making informed maintenance decisions, preventing losses from mechanical system damage, improving production safety, and safeguarding the mechanical system from harm.
dc.identifier.doi10.1007/s40430-023-04309-4
dc.identifier.issn1678-5878
dc.identifier.issn1806-3691
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85162944296
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s40430-023-04309-4
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6258
dc.identifier.volume45
dc.identifier.wosWOS:001016903700002
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer Heidelberg
dc.relation.ispartofJournal of The Brazilian Society of Mechanical Sciences and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectBearing
dc.subjectRUL
dc.subjectLSTM
dc.subjectTernary patterns
dc.titleA new approach for remaining useful life prediction of bearings using 1D-ternary patterns with LSTM
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu