20.500.12556/RUL-106150 Analiza obratovalnih parametrov ležaja sesalne enote z metodami strojnega učenja Bearing operational parameters analysis in vacuum cleaner motor using machine learning methods Jedro doktorske naloge je empirično modeliranje dobe trajanja ležaja sesalne enote. Glavne vplive na dobo trajanja smo razložili s statistično prepoznanimi vplivi širšega nabora domnevnih vplivov. Postavljeni napovedni model ocenjuje dobo trajanja ležaja za 50 odstotno verjetnost odpovedi L_50. Le-to določajo temperatura ležaja, hitrostni faktor, ekvivalentna obremenitev, količina masti, vrsta oljne osnove, vrsta ležajne kletke, vrsta tesnila, tolerančni razred in položaj ležaja v sesalni enoti. Nabor empiričnih podatkov je sprva predstavljalo 4672 populacij z 38.000 sesalnimi enotami. Stroge filtrirne zahteve so rezultirale v končnem seznamu 170-ih populacij za izgradnjo Weibullove podatkovne baze. Rezultat multiple linearne regresije je dobljen empirični model, ki skupaj z zgrajeno Weibullovo bazo predstavljajo doprinos k znanosti na področju napovedovanja dobe trajanja ležaja. The focus of the thesis is the empirical modelling of bearing life. An approach towards the prediction of life through range of different conditions was used. The model estimates bearing life for 50% probability of survival - L_50, which is determined with bearing temperature, speed factor, equivalent load, grease fill, type of oil, type of bearing cage, type of seals, tolerance class and side of the motor. The empirical data initially consisted of 4672 different test populations, involving 38.000 vacuum cleaner motors. Strict filtering requirements resulted in 170 final populations selected for building Weibull databank for learning final models. The obtained empirical models gained with multiple linear regression are together with obtained databank a contribution to the science in field of bearing life forecasting. sesalna enota odpovedi ležaja razpad masti Weibullova porazdelitev cenzurirani podatki filtriranje testov doba trajanja ležaja linearna regresija vacuum cleaner motor bearing failure grease deterioration Weibull probability function censored data Filtering of tests Bearing life Linear regression true false false Slovenski jezik Angleški jezik Doktorsko delo/naloga 2019-02-01 13:22:50 2019-02-01 13:22:56 2022-08-18 03:48:11 0000-00-00 00:00:00 2018 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 1970-01-01 212025 2737.pdf 2737.pdf 1 FC18CC16EC084761AF85B2BE16C2DCD9 15572b9733b4b8df54a5cfc571dbc18dfabec5cf73e4ed9cc6718120c89b0b64 4a3ac79d-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=116883 2740.pdf 2740.pdf 1 C0C421F2E09DB414C902BA5C3789EEDB 71b9e08c7a970a4e2b7357e9a9003ff220995b273e36a476fa1b0385563074ff 4a65a6a0-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=116886 2738.pdf 2738.pdf 1 01C5B33C7731028E9266F550E3DFB3B6 aa01456a966da522e599f46fd38aec2cc87837896aa61412db476e8fad2151ad 4a490c91-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=116884 2741.pdf 2741.pdf 1 8C6723CF712E4DEAC3B0A4ACF9309509 752762dcf204777160a9b6f24ba7addfb99b5e7ffe2c5ccccbca242ad7454f8a 4a764d55-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=116887 2742.pdf 2742.pdf 1 A81A0CDA7427AD6FBB2AC22C3031A863 b791e1e6d3bf00b7a9e5f9e2bd34693efddbc47561bea1373a12ec8d172a2b7a 4a870165-a1b6-11eb-a523-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=116888 Fakulteta za strojništvo 0 0 0