Tool condition monitoring using artificial intelligence methods-Reference-Cited by-同舟云学术

Tool condition monitoring using artificial intelligence methods

Published:2002-02 Issue:1 Volume:15 Page:73-80
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Balazinski Marek,Czogala Ernest,Jemielniak Krzysztof,Leski Jacek

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference10 articles.

1. Balazinski, M., Jemielniak, K., 1998. Tool conditions monitoring using fuzzy decision support system. V CIRP International Conference on Monitoring and Automatic Supervision in Manufacturing AC’98 Miedzeszyn, pp. 115–122.

2. Application of fuzzy logic techniques to the selection of cutting parameters in machining processes;Balazinski;Fuzzy Sets and Systems,1994

3. Tool condition monitoring (TCM)—the status of research and industrial application;Byrne;Annals of the CIRP,1995

4. Commercial tool condition monitoring systems;Jemielniak;International Journal of Advanced Manufacturing Technology,1999

5. Diagnosis of tool wear based on cutting forces and acoustic emission measures as inputs to neural network;Jemielniak;Journal of Intelligent Manufacturing,1998

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