Prognostics of polygonalization of high-speed railway train wheels using a generalized additive model smoothed by spline-backfitted kernel
2019 (Engelska)Ingår i: 2019 IEEE International Conference on Prognostics and Health Management (ICPHM), IEEE, 2019Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]
A method for the prognosis of polygonalization in high-speed railway train wheels is developed based on a generalized additive model. Unlike most previous studies, this study uses field data, so findings can help improve practical maintenance efficiency. A spline-backfitted kernel is used to improve computation efficiency when figuring out model parameters. This prognostics method can be applied to practical railway management decisions.
Ort, förlag, år, upplaga, sidor
IEEE, 2019.
Serie
International Conference on Prognostics and Health Management, PHM
Nyckelord [en]
prognostics, preventive maintenance, generalized additive model, spline-backfitted kernel, polygonalization, high-speed railway, train wheels
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-75293DOI: 10.1109/ICPHM.2019.8819407ISI: 000684566500035Scopus ID: 2-s2.0-85072762317OAI: oai:DiVA.org:ltu-75293DiVA, id: diva2:1337184
Konferens
IEEE International Conference on Prognostics and Health Management (ICPHM2019), 17-20 June, 2019, San Francisco, California, USA
Anmärkning
ISBN för värdpublikation: 978-1-5386-8357-6, 978-1-5386-8358-3
2019-07-112019-07-112026-02-10Bibliografiskt granskad