Open AccessSYSTEM DEVELOPMENT DIAGNOSTICS OF CNC MACHINES
Author(s) -
A. L. Kozlov,
А. А. Козлов
Publication year - 2022
Publication title -
voronežskij naučno-tehničeskij vestnik
Language(s) - English
Resource type - Journals
ISSN - 2311-8873
DOI - 10.34220/2311-8873-2022-51-58
Subject(s) - computer science , development (topology) , numerical control , filter (signal processing) , reliability engineering , control engineering , engineering , mechanical engineering , mathematics , mathematical analysis , computer vision , machining
The article describes the principles of creating a hybrid prediction model and a comprehensive diagnosis of malfunctions of CNC ma-chine tools. It was proposed to improve the configuration of the diagnostic system and in-clude a neuro-fuzzy network with a dynamic Bayesian network algorithm and a particle filter in it in order to provide earlier and accurate prediction of faults. This will make it possible to predict some malfunctions in the initial stages of the operation of CNC machines, when cost-effective measures can be taken to avoid serious malfunctions or damage