Artificial intelligence methods in hydraulic system design
Authors:
- Grzegorz Filo
Abstract
Reducing energy consumption and increasing operational efficiency are currently among the leading research topics in the design of hydraulic systems. In recent years, hydraulic system modeling and design techniques have rapidly expanded, especially using artificial intelligence methods. Due to the variety of algorithms, methods, and tools of artificial intelligence, it is possible to consider the prospects and directions of their further development. The analysis of the most recent publications allowed three leading technologies to be indicated, including artificial neural networks, evolutionary algorithms, and fuzzy logic. This article summarizes their current applications in the research, main advantages, and limitations, as well as expected directions for further development.
- Record ID
- CUTf0129b5dda584294953b40a747b5c13e
- Publication categories
- ;
- Author
- Journal series
- Energies, ISSN , e-ISSN 1996-1073, Biweekly
- Issue year
- 2023
- Vol
- 16
- No
- 8
- Pages
- [1-19]
- Article number
- 3320
- Other elements of collation
- rys.; schem.; tab.; wykr.; Bibliografia (na s.) - 16-19; Bibliografia (liczba pozycji) - 84; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 16, Iss. 8
- Keywords in English
- hydraulic system design, artificial intelligence, artificial neural networks, evolutionary algorithms, fuzzy logic
- ASJC Classification
- DOI
- DOI:10.3390/en16083320 Opening in a new tab
- URL
- https://www.mdpi.com/1996-1073/16/8/3320 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTf0129b5dda584294953b40a747b5c13e/
- URN
urn:pkr-prod:CUTf0129b5dda584294953b40a747b5c13e
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.