Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Choon Lim Ho"'
Publikováno v:
Advances in Manufacturing. 9:206-215
High product quality is one of key demands of customers in the field of manufacturing such as computer numerical control (CNC) machining. Quality monitoring and prediction is of great importance to assure high-quality or zero defect production. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b60aa4f1af284d8bab4395e9b5a0be1
https://doi.org/10.1007/s40436-021-00345-2
https://doi.org/10.1007/s40436-021-00345-2
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques
Autor:
Yan Shen, A. K. Das, Feng Yang, Jhinaoui Ahmed, Choon Lim Ho, Yu Zhou, Mohamed Salahuddin Habibullah
Publikováno v:
Journal of Intelligent Manufacturing. 32:1753-1766
The need to monitor tool wear is crucial, particularly in advanced manufacturing industries, as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of workpiece to be manufactured. Although there have been many studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1335d3a83399fc92b825c980968e0d1c
https://doi.org/10.1007/s10845-020-01625-7
https://doi.org/10.1007/s10845-020-01625-7
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b29bf0711a8ef64e0b1e8ae66031245d
https://doi.org/10.2139/ssrn.4074578
https://doi.org/10.2139/ssrn.4074578
Publikováno v:
2021 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::785997bc52123c43ddf21449bbc5999a
https://doi.org/10.1109/hpbdis53214.2021.9658480
https://doi.org/10.1109/hpbdis53214.2021.9658480
Publikováno v:
Measurement. 201:111701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518fcde88fe3a30f5c88aadb8a4f4ea1
https://doi.org/10.1016/j.measurement.2022.111701
https://doi.org/10.1016/j.measurement.2022.111701
Autor:
Amirabbas Bahador, Hwee Ping Ng, Tomi Wijaya, Chunling Du, Jacek Kaminski, Nurul Atiqah Dzulqarnain, Deepesh Upadrashta, Choon Lim Ho, Yicheng Jin
Publikováno v:
Intelligent Systems Reference Library ISBN: 9783030672690
Successful implementation of industry 4.0 is highly dependent on the functionality and reliability of the manufacturing equipment such as machines, robots, handling equipment, as well as equipment for measuring and quality assurance of products. It i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbfb05a62d82f4dce12008f538322fca
https://doi.org/10.1007/978-3-030-67270-6_5
https://doi.org/10.1007/978-3-030-67270-6_5
