rus
Issue #2/2025
L. D. Malkova, I. A. Pavlyuchenkov
Application of Neural Network for Diagnosing the Condition of End Milling Cutters
Application of Neural Network for Diagnosing the Condition of End Milling Cutters
DOI: 10.22184/2499-9407.2025.39.2.66.69
The technique of continuous control of cutting tool condition by cutting sound using artificial intelligence is developed. Diagnostics of the state of carbide end milling cutters with the help of neural network by means of recording and processing of audio signal accompanying the process of milling with new and worn tools is carried out.
Tags: diagnostics end milling cutter milling neural network диагностирование концевая фреза нейросеть фрезерование
Subscribe to the journal Stankoinstrument to read the full article.
The technique of continuous control of cutting tool condition by cutting sound using artificial intelligence is developed. Diagnostics of the state of carbide end milling cutters with the help of neural network by means of recording and processing of audio signal accompanying the process of milling with new and worn tools is carried out.
Tags: diagnostics end milling cutter milling neural network диагностирование концевая фреза нейросеть фрезерование
Subscribe to the journal Stankoinstrument to read the full article.
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