Article

Tool State Recognition During Milling Process using Time Series Signals and Multiple Input CNN Architecture.

2023-04-20

Abstract excerpt

This paper presents a novel multi-input Convolutional Neural Network (CNN) architecture. Instead of commonly used, single-input variant, described method is based on 11 input images. The resulting machine learning model is applied to the problem of automatic monitoring of tool wear during chipboard milling. The main goal is to inform the machine operator about the degree of tool wear, categorized in three classes...

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Identifiers and source

Literature Corpus work: f37ce2ec-f034-5423-a1d4-c947c79b2a27
DOI: 10.21203/rs.3.rs-2828816/v1

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