Identifying the grinding process by means of inductive machine learning

Author:

Junkar Mihael,Filipič Bogdan,Bratko Ivan

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference17 articles.

1. Developments and trends in monitoring and control of machining processes;Tönshoff;Ann. CIRP,1988

2. Characteristics of grinding wheel surface in rotating wheel estimated by average power spectrum pattern;Miyoshi;Bull. Jpn. Soc. Precis. Eng.,1980

3. Industrial problems in grinding;Kegg;Ann. CIRP,1983

4. Contribution of CIRP research to industrial problem in grinding;Peters;Ann. CIRP,1984

5. Monitoring of dressing and grinding processes with acoustic emission signals;Inasaki;Ann. CIRP,1985

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1. Challenges and Opportunities for Deep Learning Applications in Industry 4.0;Challenges and Opportunities for Deep Learning Applications in Industry 4.0;2022-10-03

2. Roundness prediction in centreless grinding using physics-enhanced machine learning techniques;The International Journal of Advanced Manufacturing Technology;2020-12-08

3. Machine learning induction of a model for online parameter selection in EDM rough machining;The International Journal of Advanced Manufacturing Technology;2008-06-03

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5. AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING COMPLEXITY, CHANGES AND UNCERTAINTIES IN MANUFACTURING;IFAC Proceedings Volumes;2002

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