id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuelectenerg-13871	Filipović, Filip Radiša; Stojiljković, Anđela; Mitrović, Nebojša; Banković, Bojan; Petronijević, Milutin; Kostić, Vojkan	IN-SITU DIGITAL TWINNING OF INDUCTION MACHINES VIA SENSITIVITY-BASED GENETIC ALGORITHM PARAMETER ESTIMATION	2025	22	.pdf	application/pdf	6903	337	49	This paper presents a novel, four-step workflow with two-stage methodology that enables a reduced testing procedure for induction machine parameter identification to create high-fidelity digital twin. This work targets a practical gap for directly grid- connected induction motors: in many critical installations, there is no non-invasive, always-on way to validate machine parameters and detect faults during normal operation.	cache/fuelectenerg-13871.pdf	txt/fuelectenerg-13871.txt