20.500.12556/DKUM-84999 Inteligentni nadzor obrabe rezalnega orodja s spremljanjem toka na glavnem vretenu magistrsko delo Intelligent tool condition monitoring system utilizing spindle current measurements V magistrski nalogi je predstavljen sistem za nadzor rezalnega orodja, ki temelji na sledenju toka na glavnem vretenu z uporabo umetne nevronske mreže. Glavni namen aplikacije je razširiti vpogled, ki ga ima operater v stanje orodja med delovanjem stružnice CNC. Program za analizo lahko nemoteno deluje paralelno na procesnem računalniku in prejema podatke preko podatkovnega omrežja s krmilnika stružnice. V delu so predstavljeni proces zajemanja podatkov za učno bazo umetne nevronske mreže tipa Long-Short Term Memory, arhitektura in učenje nevronske mreže, ki je uporabljena v tej aplikaciji, ter validacija naučenega modela z umetno inteligenco na novih podatkih. Prav tako sta predstavljena tudi izdelava in delovanje programa, ki se lahko izvaja na procesnem računalniku za potrebe pomožne diagnostike orodja. The thesis presents a tool condition monitoring system, based on the tracking of current flowing through the main spindle with an artificial neural network. The main purpose of this application is to provide additional insight to the operator regarding tool wear during the operation of the CNC lathe. The TCM program can run independently on a process computer next to the lathe, receiving data via the ethernet network from the machines PLC. We present the measurement processes with which we have obtained the training data for the Long-Short Term Memory neural network, the design and training of said network and the validation of the artificial intelligence model on a new dataset. Along with the trained model we also provide a prototype software designed to use said model for the purposes of assistive tool condition monitoring. tok na glavnem vretenu nevronska mreža nadzor obrabe orodja LSTM umetna inteligenca main spindle current neural network tool condition monitoring long-short term memory artificial intelligence true true false [N. Turšič] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2023-08-15 11:15:50 2023-10-05 16:57:52 2023-11-21 03:08:35 0000-00-00 00:00:00 2023 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (VIII, 61 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.941.025:004.8(043.2) 172751619 MAG_Tursic_Niko_2023.pdf MAG_Tursic_Niko_2023.pdf 1 074BBDB195586B0473E6144F70933609 e3bb1598f7f776743d2b5d437cb7696f7278e57f0b718b27fd42a1e521c3337e 5441772a-3b4d-11ee-a783-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=169508 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0