Identification of optimal efficiency exploitation conditions of axial-piston hydraulic motor A2FM type using Artificial Neural Network algorithms-Reference-Cited by-同舟云学术

Identification of optimal efficiency exploitation conditions of axial-piston hydraulic motor A2FM type using Artificial Neural Network algorithms

Published:2021 Issue: Volume:192 Page:1532-1540
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Banaszek Andrzej

Publisher

Elsevier BV

Subject

General Engineering

Reference20 articles.

1. Banaszek A.,Urbanski T. (2020) “The flow calculation algorithm of submerged hydraulic cargo pumps working with reduced pump speed on modern product and chemical tankers” ELSEVIER Procedia Computer Science, 24 th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES 2020: 2868-2877

2. “Problem of Non Proportional Flow of Hydraulic Pumps Working with Constant Pressure Regulators in Big Power Multipump Power Pack Unit in Open System”;Banaszek;Technical Gazette,2019

3. “Calculation of the unloading operation in case of liquid cargo service with high density on modern product and chemical tankers equipped with hydraulic submerged cargo pumps”;Banaszek;Strojniski Vestnik J.Mech. Engin,2010

4. Nikończuk P., Jaszczak S R.(2020): “Identification of fan dynamics in a spray booth using genetic algorithms, ELSEVIER Procedia Computer Science, 24 th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2020: 3843-3852

5. Bavendiek R.(1987): “Neue methodezur bestimmung der Verluste (Wirkungsgrade) an Hydrostatischenn Maschienen,“ Oelhydraulik und Pneumatik (O+P vol. 131 nr 5 1987: 861-866.

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