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Artificial Intelligence Methods in Hydraulic System Design

Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Kraków, Poland
Energies 2023, 16(8), 3320; https://doi.org/10.3390/en16083320
Submission received: 6 March 2023 / Revised: 2 April 2023 / Accepted: 6 April 2023 / Published: 7 April 2023

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.
Keywords: hydraulic system design; artificial intelligence; artificial neural networks; evolutionary algorithms; fuzzy logic hydraulic system design; artificial intelligence; artificial neural networks; evolutionary algorithms; fuzzy logic

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MDPI and ACS Style

Filo, G. Artificial Intelligence Methods in Hydraulic System Design. Energies 2023, 16, 3320. https://doi.org/10.3390/en16083320

AMA Style

Filo G. Artificial Intelligence Methods in Hydraulic System Design. Energies. 2023; 16(8):3320. https://doi.org/10.3390/en16083320

Chicago/Turabian Style

Filo, Grzegorz. 2023. "Artificial Intelligence Methods in Hydraulic System Design" Energies 16, no. 8: 3320. https://doi.org/10.3390/en16083320

APA Style

Filo, G. (2023). Artificial Intelligence Methods in Hydraulic System Design. Energies, 16(8), 3320. https://doi.org/10.3390/en16083320

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