Filtration of estimated flank wear widths using recurrent neural network in the tool wear regulation process

Brezak, Danko and Majetić, Dubravko and Udiljak, Toma and Staroveški, Tomislav (2010) Filtration of estimated flank wear widths using recurrent neural network in the tool wear regulation process. = Filtration of estimated flank wear widths using recurrent neural network in the tool wear regulation process. In: CIRP ICME ’10 - 7th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, 23-25.06.2010., Capri, Italy.

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Official URL: https://www.bib.irb.hr/496438

Abstract

In order to accomplish robust and reliable tool wear regulation it is necessary that the filter of estimated tool wear parameters is implemented in the control loop. In this research, the proposed Modified Dynamic Neural Network filter with hidden layer neurons built in the form of Dynamic Elementary Processor (DEP) is analysed. Different configurations of network structure with DEP units structured as an IIR and FIR filters are tested separately and in the control loop using two intervals of estimation errors of the flank wear parameter and ‘impulse’ process disturbances.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): control; tool wear; neural network
Subjects: TECHNICAL SCIENCE > Mechanical Engineering
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
Date Deposited: 06 Jul 2015 10:53
Last Modified: 20 Sep 2018 12:08
URI: http://repozitorij.fsb.hr/id/eprint/4437

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