Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ye Sheng Koh"'
Autor:
Mingyu Wu, Kai Woon Goh, Kam Heng Chaw, Ye Sheng Koh, Marvin Dares, Che Fai Yeong, Eileen L. M. Su, Holderbaum William, Yunhui Zhang
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
This study introduces a sophisticated intelligent predictive maintenance system for industrial conveyor belts powered by a random forest machine learning model. The random forest model was evaluated against established models such as logistic regress
Externí odkaz:
https://doaj.org/article/428d2a112094419db965a99275844fae
Autor:
Mingyu Wu, Ye Sheng Koh, Che Fai Yeong, Kai Woon Goh, Dares, Marvin, Eileen Su Lee Ming, Holderbaum, William, Shahrizal Sunar, Mohd
Publikováno v:
Indonesian Journal of Electrical Engineering & Computer Science; Sep2024, Vol. 35 Issue 3, p1547-1555, 9p
Autor:
Kai Woon Goh, Ye Sheng Koh, Yik Shin Tey, Che Fai Yeong, Eileen Su Lee Ming, Mohd Shahrizal Sunar, Marvin Dares
Publikováno v:
Jurnal Teknologi. 83:37-43
Augmented reality (AR) in maintenance is a broad subject with many nuances when it comes to their implementation. The applications of these systems range from maintenance of large-scale assets such as buildings to smaller scale assets such as robots.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9151d7b40f805133d94bf778724d842a
https://doi.org/10.11113/jurnalteknologi.v83.14907
https://doi.org/10.11113/jurnalteknologi.v83.14907
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811684838
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a652884b534a8859e69b8f07912973e
https://doi.org/10.1007/978-981-16-8484-5_11
https://doi.org/10.1007/978-981-16-8484-5_11
Autor:
Kai Woon Goh, Kam Heng Chaw, Che Fai Yeong, Eileen Lee Ming Su, Ye Sheng Koh, Jonathan C. E. Yong, Marvin Dares
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811648021
The conveyor system is critical for the production sector and needs to be maintained well to avoid downtime. Predictive maintenance (PdM) has improved the uptime of equipment by 10 to 20% while reducing the total cost of maintenance by 5 to 10% and 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85a5e171dfe50340238aaae7768cd18f
https://doi.org/10.1007/978-981-16-4803-8_26
https://doi.org/10.1007/978-981-16-4803-8_26
Publikováno v:
2020 6th International Conference on Control, Automation and Robotics (ICCAR).
Modern machines are still susceptible to faults and breakdown. On the onset of Industry 4.0, machines are equipped with various sensors. This paper describes the development of an (Automated Guided Vehicle) AGV to be used as a test bed to simulate fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15e8a002ed5474863569d5fce3d15315
https://doi.org/10.1109/iccar49639.2020.9107977
https://doi.org/10.1109/iccar49639.2020.9107977