Towards the identification of worn picks on cutterdrums based on torque and power signals using Artificial Neural Networks-Reference-Cited by-同舟云学术

Towards the identification of worn picks on cutterdrums based on torque and power signals using Artificial Neural Networks

Published:2011-01 Issue:1 Volume:26 Page:22-28
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Gajewski Jakub,Jonak Józef

Publisher

Elsevier BV

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction

Reference20 articles.

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4. Gajewski, J., 2005. Idea of identifying the status of the cutting tools point used in multi-tool excavating heads. Maintenance and Reliability 2/2005 Polish Maintenance Society. Warsaw 23–25.

5. Utilisation of neural networks to identify the status of the cutting tool point;Gajewski;Tunnelling and Underground Space Technology incorporating Trenchless Technology Research,2006

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