Improved performance evaluation of tool condition identification by manufacturing loss consideration
10.1080/00207540412331299701
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sg-nus-scholar.10635-604962023-10-26T10:20:36Z Improved performance evaluation of tool condition identification by manufacturing loss consideration Sun, J. Hong, G.S. Rahman, M. Wong, Y.S. MECHANICAL ENGINEERING Flank wear Neural networks Support vector machine Tool condition monitoring 10.1080/00207540412331299701 International Journal of Production Research 43 6 1185-1204 IJPRB 2014-06-17T06:23:54Z 2014-06-17T06:23:54Z 2005-03-15 Article Sun, J., Hong, G.S., Rahman, M., Wong, Y.S. (2005-03-15). Improved performance evaluation of tool condition identification by manufacturing loss consideration. International Journal of Production Research 43 (6) : 1185-1204. ScholarBank@NUS Repository. https://doi.org/10.1080/00207540412331299701 00207543 http://scholarbank.nus.edu.sg/handle/10635/60496 000226594100006 Scopus |
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Flank wear Neural networks Support vector machine Tool condition monitoring |
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Flank wear Neural networks Support vector machine Tool condition monitoring Sun, J. Hong, G.S. Rahman, M. Wong, Y.S. Improved performance evaluation of tool condition identification by manufacturing loss consideration |
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10.1080/00207540412331299701 |
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MECHANICAL ENGINEERING |
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MECHANICAL ENGINEERING Sun, J. Hong, G.S. Rahman, M. Wong, Y.S. |
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Article |
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Sun, J. Hong, G.S. Rahman, M. Wong, Y.S. |
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Sun, J. |
title |
Improved performance evaluation of tool condition identification by manufacturing loss consideration |
title_short |
Improved performance evaluation of tool condition identification by manufacturing loss consideration |
title_full |
Improved performance evaluation of tool condition identification by manufacturing loss consideration |
title_fullStr |
Improved performance evaluation of tool condition identification by manufacturing loss consideration |
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Improved performance evaluation of tool condition identification by manufacturing loss consideration |
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improved performance evaluation of tool condition identification by manufacturing loss consideration |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/60496 |
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