Artificial Intelligence Methods in Hydraulic System Design

Grzegorz Filo ()
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Grzegorz Filo: Faculty of Mechanical Engineering, Cracow University of Technology, 31-864 Kraków, Poland

Energies, 2023, vol. 16, issue 8, 1-19

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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