Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Clayton Cooper"'
Autor:
Robert X. Gao, Mohit Agarwal, Weihong Guo Grace, Yuebin Guo, Clayton Cooper, Qi Tian, Shenghan Guo
Publikováno v:
Journal of Manufacturing Systems. 62:145-163
Machine learning (ML) has shown to be an effective alternative to physical models for quality prediction and process optimization of metal additive manufacturing (AM). However, the inherent “black box” nature of ML techniques such as those repres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::add5b661dce9052bb806783f48c7dcbd
https://doi.org/10.1016/j.jmsy.2021.11.003
https://doi.org/10.1016/j.jmsy.2021.11.003
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a7bd074c6f93526bac44945b88c79c
https://doi.org/10.1109/tim.2022.3214630
https://doi.org/10.1109/tim.2022.3214630
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031288388
Manufacturers today are increasingly connected as part of a smart and connected community. This transformation offers great potential to deepen their collaborations through resource and knowledge sharing. While the benefits of artificial intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc11110d411e8f4ae7d0f9117268e81b
https://doi.org/10.1007/978-3-031-28839-5_94
https://doi.org/10.1007/978-3-031-28839-5_94
Publikováno v:
Journal of Materials Processing Technology. 315:117908
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f44fc95c22a2067cd7cfffd8d2ef04f
https://doi.org/10.1016/j.jmatprotec.2023.117908
https://doi.org/10.1016/j.jmatprotec.2023.117908
Publikováno v:
CIRP Annals. 70:5-8
As an emerging communication modality, brainwaves can be used to control robots for seamless assembly, especially in noisy environments where voice recognition is not reliable or when an operator is occupied with other tasks and unable to make gestur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7698829a7126c1ea6b139679fa1c237
https://doi.org/10.1016/j.cirp.2021.04.091
https://doi.org/10.1016/j.cirp.2021.04.091
Publikováno v:
Procedia CIRP. 104:206-211
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06f0650f02a5302dc5cc2741a7aa438e
https://doi.org/10.1016/j.procir.2021.11.035
https://doi.org/10.1016/j.procir.2021.11.035
Publikováno v:
Procedia Manufacturing. 48:372-378
Acoustic monitoring presents itself as a flexible but under-reported method of tool condition monitoring in milling operations. This paper demonstrates the power of the monitoring paradigm by presenting a method of characterizing milling tool conditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5667afeaf5c062fc67565b5b1da414e4
https://doi.org/10.1016/j.promfg.2020.05.059
https://doi.org/10.1016/j.promfg.2020.05.059
Autor:
Ihab Ragai, Travis Roney, Clayton Cooper, Derek Shaffer, Robert X. Gao, Jianjing Zhang, Peng Wang
Publikováno v:
Procedia Manufacturing. 49:105-111
Sonic monitoring presents itself as one of the least invasive but easiest to implement methods of machine condition characterization. This work investigates the viability of categorically classifying cutting tool wear using only sonic output from a v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fb4d32940f434a7adccac448d030630
https://doi.org/10.1016/j.promfg.2020.07.004
https://doi.org/10.1016/j.promfg.2020.07.004
Publikováno v:
2020 International Symposium on Flexible Automation.
Machine learning has demonstrated its effectiveness in fault recognition for mechanical systems. However, sufficient data for establishing accurate and reliable fault detection methods is not always available in real-world applications. Transfer lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e4794da8fa515dffe8c23c929f4400a
https://doi.org/10.1115/isfa2020-9636
https://doi.org/10.1115/isfa2020-9636
Publikováno v:
Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare. 9:264-269
Introduction Several studies have demonstrated subpar chest compression (CC) performance by trained health care professionals. The objective of this study was to determine the immediate and sustained effect of instantaneous audiovisual feedback on CC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63d42befe2ba0c9ce79f9ecfe61a970
https://doi.org/10.1097/sih.0000000000000030
https://doi.org/10.1097/sih.0000000000000030