Medical drill wear classification using servomotor drive signals and neural networks

Staroveški, Tomislav and Brezak, Danko and Grđan, Vinko and Baček, Tomislav (2014) Medical drill wear classification using servomotor drive signals and neural networks. = Medical drill wear classification using servomotor drive signals and neural networks. In: World Congress on Engineering, WCE 2014, 02-04.07.2014., London, United Kingdom.

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Brezak_Staroveški_Grđan_Baček_Medical drill wear classification using servomotor drive signals and neural networks.pdf - Published Version Jezik dokumenta:English

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Abstract

Medical drifis are subject to intensive wear due to the influence of different mechanical, chemical and thermal factors characteristic for drilling and sterilization process. Wear progress increases friction in the cutting zone, which consequently leads to higher temperatures and cutting forces, i.e., possible thermal and mechanical damages of the bone tissue. Therefore, the presented study aimed to analyze the possibility of drifi wear monitoring using electric servomotor drive signals and neural network algorithm. Experimental work has been performed with adequately designed testbed machining system and using prepared bovine bone samples. Drifi wear features were extracted from time and frequency domain of the process signals, and then analyzed separately and in combinations.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): bone; frequency domain analysis; servomotors; wear of materials; machining systems; mechanical damages; neural network algorithm; neural networks model; osteonecrosis; servomotor drives; sterilization process; time and frequency domains; drills
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
BIOMEDICINE AND HEALTH > Clinical medical sciences
Divisions: 1200 Department of Technology > 1230 Chair of Machine Tools
900 Department of Robotics and Production System Automation > 910 Chair of Engineering Automation
Indexed in Web of Science: No
Indexed in Current Contents: No
Citations SCOPUS: 1 (20.09.2018.)
Date Deposited: 28 May 2015 10:11
Last Modified: 15 Nov 2018 13:48
URI: http://repozitorij.fsb.hr/id/eprint/4251

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