Tool wear monitoring using genetically-generated fuzzy knowledge bases

Author： Achiche S. Balazinski M. Baron L. Jemielniak K.

Publisher： Elsevier

ISSN： 0952-1976

Source： Engineering Applications of Artificial Intelligence, Vol.15, Iss.3, 2002-06, pp. : 303-314

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Tool wear monitoring using a fast Hough transform of images of machined surfaces

By Mannan M.

Machine Vision and Applications, Vol. 15, Iss. 3, 2004-07 ,pp. : 156-163

Springer Publishing Company

Access to resources Recommend Favorite

Identification of tool wear states with fuzzy classification

By Xiaoli Li Xinping Guan Hongrui Wang

International Journal of Computer Integrated Manufacturing, Vol. 12, Iss. 6, 1999-11 ,pp. : 503-509

Taylor & Francis Ltd

Access to resources Recommend Favorite

Tool wear monitoring using artificial neural network based on extended Kalman filter weight updation with transformed input patterns

By Purushothaman Srinivasan

Journal of Intelligent Manufacturing, Vol. 21, Iss. 6, 2010-12 ,pp. : 717-730

Springer Publishing Company

Access to resources Recommend Favorite

COMPRESSION AND EXPANSION OF FUZZY RULE BASES BY USING CRISP-FUZZY NEURAL NETWORKS

By Zhang Yan-Qing Kandel Abraham

Cybernetics and Systems, Vol. 29, Iss. 1, 1998-01 ,pp. : 5-34

Taylor & Francis Ltd

Access to resources Recommend Favorite

Tool wear monitoring and selection of optimum cutting conditions with progressive tool wear effect and input uncertainties

By Pal Sukhomay

Journal of Intelligent Manufacturing, Vol. 22, Iss. 4, 2011-08 ,pp. : 491-504

Springer Publishing Company

Access to resources Recommend Favorite