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Wong Yoke San

rp09433

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Full Name
Wong Yoke San
(not current staff)
Variants
Wong, Y.-S.
Wong, Yoke-San
Wong, Yoke S.
San, W.Y.
Wong, Y.S.
Wong Y.S
SAN, WONG YOKE
Wong, Y.S
Yoke San, W.
WONG, Y.S
Yoke, S.W.
WONG, YOKE SAN
 
Main Affiliation
 
Faculty
 
Email
mpewys@nus.edu.sg
 

Publications

Refined By:
Author:  Hong, G.S.
Date Issued:  [2000 TO 2009]

Results 1-20 of 24 (Search time: 0.004 seconds).

Issue DateTitleAuthor(s)
131-Jul-20063D measurement of crater wear by phase shifting methodWang, W.H.; Wong, Y.S. ; Hong, G.S. 
22007An intelligent predictive engine for milling machine prognostic monitoringLi, X.; Zhou, J.; Zeng, H.; Wong, Y.S. ; Hong, G.S. 
3Sep-2006Bayesian-inference-based neural networks for tool wear estimationDong, J.; Subrahmanyam, K.V.R.; Wong, Y.S. ; Hong, G.S. ; Mohanty, A.R.
4Dec-2007Cutting force control of milling machineHuang, S. ; Tan, K.K. ; Hong, G.S. ; Wong, Y.S. 
5Aug-2008Cutting force denoising in micro-milling tool condition monitoringZhu, K. ; Hong, G.S. ; Wong, Y.S. ; Wang, W.
6Jan-2000Dynamic selection of dispatching rules for job shop schedulingSubramaniam, V. ; Lee, G.K.; Hong, G.S. ; Wong, Y.S. ; Ramesh, T. 
72005Effective application of neural networks in tool condition identificationSun, J. ; Rahman, M.; Wong, Y.S. ; Hong, G.S. ; Sun, Y.
8Feb-2006Effective training data selection in tool condition monitoring systemSun, J. ; Hong, G.S. ; Wong, Y.S. ; Rahman, M. ; Wang, Z.G. 
9Feb-2006Flank wear measurement by a threshold independent method with sub-pixel accuracyWang, W.H.; Hong, G.S. ; Wong, Y.S. 
10Dec-2005Flank wear measurement by successive image analysisWang, W.; Wong, Y.S. ; Hong, G.S. 
112008Identification of feature set for effective tool condition monitoring - a case study in titanium machiningSun, J. ; San, W.Y. ; Soon, H.G. ; Rahman, M. ; Zhigang, W.
121-Mar-2004Identification of feature set for effective tool condition monitoring by acoustic emission sensingSun, J. ; Hong, G.S. ; Rahman, M. ; Wong, Y.S. 
1315-Mar-2005Improved performance evaluation of tool condition identification by manufacturing loss considerationSun, J. ; Hong, G.S. ; Rahman, M. ; Wong, Y.S. 
142005Intelligent prediction monitoring system for predictive maintenance in manufacturingZhou, J.; Li, X.; Andernroomer, A.J.R.; Zeng, H.; Goh, K.M.; Wong, Y.S. ; Hong, G.S. 
152000Job shop scheduling with dynamic fuzzy selection of dispatching rulesSubramaniam, V. ; Ramesh, T. ; Lee, G.K.; Wong, Y.S. ; Hong, G.S. 
162000Machine selection rules in a dynamic job shopSubramaniam, V. ; Lee, G.K.; Ramesh, T. ; Hong, G.S. ; Wong, Y.S. 
172007Model-based monitoring and failure detection methodology for ball-nose end millingHuang, S.; Goh, K.M.; Chuan, K.; Wong, Y.S. ; Hong, G.S. 
18Feb-2009Multi-category micro-milling tool wear monitoring with continuous hidden Markov modelsZhu, K. ; Wong, Y.S. ; Hong, G.S. 
19Sep-2004Multiclassification of tool wear with support vector machine by manufacturing loss considerationSun, J. ; Rahman, M. ; Wong, Y.S. ; Hong, G.S. 
202008Noise-robust tool condition monitoring in micro-milling with hidden Markov modelsZhu, K.P. ; Wong, Y.S. ; Hong, G.S.