Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Amin J. Torabi"'
Publikováno v:
IEEE Systems Journal. 10:721-732
Tool condition monitoring (TCM) is a necessary action in a high-speed milling (HSM) process. As a worn milling tool might irreversibly damage a workpiece, there is a vital demand for a TCM system to evaluate the tool wear progress, or equivalently th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2690638d2ec48f0b182bb28f278eea0
https://doi.org/10.1109/jsyst.2015.2425793
https://doi.org/10.1109/jsyst.2015.2425793
Autor:
Meng Joo Er, Jacek M. Zurada, Amin J. Torabi, Beng Siong Lim, Richard J. Oentaryo, Xiang Li, Gan Oon Peen, Lianyin Zhai
Publikováno v:
IEEE Systems Journal. 9:1069-1080
The process of high speed milling is regarded as one of the most sophisticated and complicated manufacturing operations. In the past four decades, many investigations have been conducted on this process, aiming to better understand its nature and imp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ff868f08e6f07bde21f3dfae9467f68
https://doi.org/10.1109/jsyst.2013.2282479
https://doi.org/10.1109/jsyst.2013.2282479
Publikováno v:
Recent Advances in Computer Science and Information Engineering ISBN: 9783642257803
Face detection problem is a high-dimensional problem. Here, we proposed an enhancement to face detection approaches, particularly, template-based approaches, in which we avoid the exhaustive search while we obtain face scale, rotation angle, and faci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc21b4df83f14061c0bb20a8bbae2f96
https://doi.org/10.1007/978-3-642-25781-0_101
https://doi.org/10.1007/978-3-642-25781-0_101
Publikováno v:
IECON
In metal cutting processes, tool condition monitoring (TCM) plays an important role in maintaining the quality of surface finishing. Monitoring of tool wear in order to prevent surface damage is one of the difficult tasks in the context of TCM. Throu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9954fed384b33536eb54873066444a9c
https://hdl.handle.net/10356/101096
https://hdl.handle.net/10356/101096
Autor:
Meng Joo Er, Lianyin Zhai, Amin J. Torabi, Lin San, Imam Arifin, Xiang Li, Mahardhika Pratama, J. O. Richard
Publikováno v:
Advances in Neural Networks – ISNN 2011 ISBN: 9783642210891
ISNN (2)
ISNN (2)
This paper discusses an optimization of Dynamic Fuzzy Neural Network (DFNN) for nonlinear system identification. DFNN has 10 parameters which are proved sensitive to the performance of that algorithm. In case of not suitable parameters, the result gi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f2214fa854242685e2cf77879d79b89
https://hdl.handle.net/10453/29301
https://hdl.handle.net/10453/29301
Autor:
Olivier Massol, Er Meng Joo, Amin J. Torabi, San Linn, Li Xiang, Gan Oon Peen, Lim Beng Siong, Zhai Lianyin, Sudhan Raj Gopikrishnan, Huang Sheng
Publikováno v:
ICARCV
Surface Finishing and End Milling are among the most sophisticated manufacturing processes. For the industry to improve the quality of its end-line products, it is important for improving the performance of these processes by having a descriptive ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a60370cb49fa7338b012595980fa303
https://doi.org/10.1109/icarcv.2010.5707947
https://doi.org/10.1109/icarcv.2010.5707947
Autor:
Er Meng Joo, Zhou Junhong, Li Xiang, Huang Sheng, San Lin, Lim Beng Siong, Jose Thomas Thayil Tijo, Amin J. Torabi, Zhai Lianyin, Phua Si Jie
Publikováno v:
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.
High Speed Machining centers (HSM) are considered as complicated industrial instruments. Finishing is a critical process in production procedure which is carried on by these machines. Among many types of cutters, ball-nose cutters are the preferred c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a8491fbe8f953ffddc73ba9abdd12d
https://doi.org/10.1109/aim.2009.5229993
https://doi.org/10.1109/aim.2009.5229993