Application of Artificial Intelligence to Improve Skills in Electropneumatic Control Systems to Engineering Students-Reference-Cited by-同舟云学术

Application of Artificial Intelligence to Improve Skills in Electropneumatic Control Systems to Engineering Students

Published:2024 Issue: Volume: Page:384-398
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:en
Short-container-title:

Author:

da Silva António Ferreira^ORCID,Santos Adriano A.^ORCID,Pereira Filipe^ORCID,Felgueiras Carlos^ORCID,Moreira André Pimentel^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-61575-7_35

Reference12 articles.

1. Santos, A.A., da Silva, A.F.: Adaptability of Karnaugh maps to implement and solve complex control problems of pneumatic and electropneumatic systems. Glob. J. Res. Eng. (A): Mech. Mech. Eng. 21(2), 38–49 (2021). https://engineeringresearch.org/index.php/GJRE/article/view/2155

2. Wang, C., Tao, Y.: Karnaugh maps of logical systems and applications in digital circuit design. Circ. Syst. Signal Process. 39(4), 2245–2271 (2020). https://doi.org/10.1007/s00034-019-01214-x

3. Russhi, A.M.A., Balamesh, A.S.: Boolean curve fitting with the aid of variable-entered Karnaugh maps. Int. J. Math. Eng. Manage. Sci. 4(6), 1287–1306 (2019). https://doi.org/10.33889/IJMEMS.2019.4.6-102

4. Russhi, A.M.A., Alsayegh, A.B.A.: Reliability analysis of a commodity-supply multi-state system using the map method. J. Adv. Math. Comput. Sci. Eng. Manage. Sci. 31(2), 1–17 (2019). https://doi.org/10.9734/jamcs/2019/v31i230107

5. Foit, K., Banaś, W., Ćwikla, G.: The pneumatic and electropneumatic systems in the context of 4th industrial revolution. IOP Conf. Series: Materials Science and Engineering 400, 022024 (2018). https://doi.org/10.1088/1757-899X/400/2/022024