Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kahiomba Sonia Kiangala"'
Autor:
Kahiomba Sonia Kiangala, Zenghui Wang
Publikováno v:
IEEE Access, Vol 8, Pp 121033-121049 (2020)
The ascent of Industry 4.0 and smart manufacturing has emphasized the use of intelligent manufacturing techniques, tools, and methods such as predictive maintenance. The predictive maintenance function facilitates the early detection of faults and er
Externí odkaz:
https://doaj.org/article/6032025780294317aaf4491b507ee545
Autor:
Kahiomba Sonia Kiangala, Zenghui Wang
Publikováno v:
Sensors, Vol 22, Iss 3, p 941 (2022)
The industrial manufacturing sector is undergoing a tremendous revolution moving from traditional production processes to intelligent techniques. Under this revolution, known as Industry 4.0 (I40), a robot is no longer static equipment but an active
Externí odkaz:
https://doaj.org/article/bde5bd40c81e44ac94b180c9e6b8375c
Autor:
Kahiomba Sonia Kiangala, Zenghui Wang
Publikováno v:
Processes; Volume 9; Issue 11; Pages: 2084
Processes, Vol 9, Iss 2084, p 2084 (2021)
Processes, Vol 9, Iss 2084, p 2084 (2021)
The Industrial Internet of things (IIoT), the implementation of IoT in the industrial sector, requires a deterministic, real-time, and low-latency communication response for its time-critical applications. A delayed response in such applications coul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af597405382a2e6a7e49badd23fe7b4a
Autor:
Zenghui Wang, Kahiomba Sonia Kiangala
Publikováno v:
Procedia Manufacturing. 35:725-730
Recent trends of manufacturing processes, like Industry 4.0 (I4.0), strive to replace existing manual systems with fully self-controlled, reconfigurable processes to improve the overall production system. This paper develops a strategy to track close
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c070239fca47cf8a11eb5b7ba409f7c
https://doi.org/10.1016/j.promfg.2019.06.015
https://doi.org/10.1016/j.promfg.2019.06.015
Autor:
Zenghui Wang, Kahiomba Sonia Kiangala
Publikováno v:
2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD).
Industry 4.0 (I40) is characterized by a shift from traditional production systems, where the human supervisor or the operator is the main force behind all operations, to smart factories driven by artificial intelligence (AI) where machines and intel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c76854fec68e980e0f2e9fc49153e4
https://doi.org/10.1109/icabcd49160.2020.9183818
https://doi.org/10.1109/icabcd49160.2020.9183818
Autor:
Kahiomba Sonia Kiangala, Zenghui Wang
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 97:3251-3271
For the past recent years, Industry 4.0 (I40) also known as smart manufacturing, together with advanced manufacturing techniques, has been introduced in the industrial manufacturing sector to improve and stabilize processes. Nevertheless, practical a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaaffba1b45b06b5bfc2013c739947de
https://doi.org/10.1007/s00170-018-2093-8
https://doi.org/10.1007/s00170-018-2093-8