Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data

Author:

Koppert Steven,Henke Christian,Trächtler Ansgar,Möhringer Stefan

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference19 articles.

1. A review of machining monitoring systems based on artificial intelligence process models;Abellan-Nebot;In: The International Journal of Advanced Manufacturing Technology,2010

2. Cutting energy and surface roughness in medium density fiberboard rip sawing;Aguilera;In: European Journal of Wood and Wood Products,2011

3. Sound pressure as a tool in the assessment of the surface roughness on medium density fibreboard rip sawing process;Aguilera;In: Maderas. Ciencia y tecnologia,2010

4. Surface roughness assessment on medium density fibreboard rip sawing using acoustic signals;Aguilera;European Journal of Wood and Wood Products,2012

5. Wood machining process monitoring of blackwood (Acacia melanoxylon) with acoustic emission technique and his relationship with resulting surface roughness;Aguilera;Maderas-Ciencia Y Tecnologia,2007

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning the Automated Setup of Profile Wrapping Lines for New Products from Few Past Setups;2023 IEEE 21st International Conference on Industrial Informatics (INDIN);2023-07-18

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