20.500.12556/RUL-139126 Raziskava metod strojnega učenja za napovedovanje zvočnega tlaka A research on machine learning for the estimation of sound pressure level Velike količine podatkov, ki se beležijo tekom proizvodnega procesa in končne kontrole nam omogočajo, da z uporabo metod strojnega učenja izdelamo model, ki napove vrednost meritve na končni kontroli še preden je bila ta izvedena. Raziskali smo vpliv masne neuravnoteženosti na amplitudo odziva in kako nastane hrup. Prikazali smo celoten proces izdelave modela z uporabo Python knjižnice Scikit-learn. Izdelali smo model za napoved amplitud zvočnega tlaka pri posameznih lastnih frekvencah in modele za napoved hitrosti vibracij ter jih ocenili. Large amounts of data recorded during manufacturing process and final inspection enable us to use machine learning methods to create a model that predicts value of the measurement at end of line inspection even before it has been carried out. We researched the effects of mass imbalance on the amplitude response and how noise is generated. We showed the entire process of making the model with the use of Python library Scikit learn. We created a model for prediction of sound pressure level and model for prediction of vibration velocity and evaluated them. strojno učenje scikit-learn masno uravnoteževanje zvočni tlak vibracije machine learning scikit-learn mass balancing sound pressure vibrations true false false [M. Anko] Slovenski jezik Angleški jezik Zaključna naloga 2022-08-31 08:30:51 2022-08-31 08:30:53 2022-09-15 04:17:55 0000-00-00 00:00:00 2022 0 Ljubljana 0 XIV, 45 f. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.83+534(043.2) 243776 121344003 16478.pdf 16478.pdf 1 2FF51A5F9F5A967F31FAD591B750A1AD fb2638c19377d5255b90a1784995f35d051ca3ccd0d54a77c8e8694f0ace2515 6cfb483a-28f6-11ed-92af-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=159664 Fakulteta za strojništvo 0 0 0