Utilisation of neural networks to identify the status of the cutting tool point

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• 作者：Jakub Gajewski and Jó ; zef Jonak
• 关键词：Neural network ; Cutting tool ; Monitoring systems
• 刊名：Tunneling and Underground Space Technology
• 出版年：2006
• 出版时间：March 2006
• 年：2006
• 卷：21
• 期：2
• 页码：180-184
• 全文大小：184 K

文摘

The paper presents the results of a research work using artificial neural networks to classify the signals of machining forces typical for particular worn cutting tools. Prospectively, a proper classification of these signals may allow the identification of cutter tips condition in multi-tools heads status’ monitoring systems, and facilitate the construction of systems for controlling rocks excavating process.