Dagnostics of hydraulic drive of airfield equipment
https://doi.org/10.26518/2071-7296-2025-22-3-356-367
EDN: DOFLIH
Abstract
Introduction. The article presents an overview of modern diagnostic methods for mobile machines. The directions of diagnosis are outlined: with the applications of algorithms based on the use of a complex of controllers designed to collect and store up-to-date diagnostic information; with the help of artificial intelligence allowing to perform step-by-step diagnostics on current information about the speed of hydraulic motors, pressure and fluid velocity. The article also demonstrates the ways for using parametric statistical methods that are possible to determine the state of the working fluid and predict the state of various hydraulic drive units; filter condition indicators for assessing the wear degree of gear pumps; a system of indicators demonstrating unconsumed residual resource of hydraulic drive elements.
Materials and Methods. The authors propose to use the Bernoulli equation to determine the velocity and piezometric heads in selected sections of the hydraulic drive in order to construct a digital model in the form of a hydraulic slope curve. It is noted that for hydraulic systems equipped with hydraulic motors, it is possible to obtain different operating modes of hydraulic sections at minimum and maximum pump speeds, which makes it capable to analyze the operation of the hydraulic system at pressures that vary over a wide range. The digital model is built on the basis of known dependencies, which theoretically allow us to determine the velocity and piezometric pressures in different parts of the hydraulic system.
Results. The application of this digital model in various areas, during maintenance of the hydraulic drive and a comparison of the measured values in the sections of the hydraulic system with the theoretical ones will make it possible to establish its serviceability or predict failure.
Discussions and Conclusions. The proposed approach will allow to carry out repairs in a timely manner and eliminate sudden equipment failure.
About the Authors
I. V. LeskovetsBelarus
Igor V. Leskovets – Cand. of Sci. (Eng.), Associate Professor, Head of the Department “Transport and Technological Machines”
43, Mira Avenue, Mogilev, 212000
Scopus Author: ID 57214989692
ResearcherID: MFI-1510-2025
A. A. Grats
Belarus
Alexander A. Grats – engineer
Territory of Minsk National Airport, Minsk
V. D. Rogozhyn
Belarus
Vladimir D. Rogozhin – Cand. of Sci. (Eng.), Associate Professor, Dean of Engineering Faculty of Correspondence Education
43, Mira Avenue, Mogilev, 212000
References
1. Maksimenko A.N., Bezdnikov D.V., Lesko vets I.V., Kutuzov V.V. The residual resource hydraulic machines. Truck. 2015; 5: 36-43. (In Russ).
2. Zorin V.A., Pegachkov A.A., Ruzanov E.V. Forecasting of reliability of the road and construction equipment using universal onboard controllers. Technique and technology of transport. 2019; 4 (15): 6. URL: http://transport-kgasu.ru/files/N15-06KN419.pdf (accessed: 25.03.2025) (In Russ.)
3. Miller A.P. Modern trends in the field of determining the technical state of hydraulic systems of construction machines. Transport. Transport facilities. Ecology. 2021; 1. URL: https://vestnik.pstu.ru/obgtrans/archives/?id=&folder_id=9987 (accessed: 25.03.2025) (In Russ)
4. Piramatov U.A., Pugin K.G. Piramatov U.A., Pugin K.G. Improving the efficiency of existing methods for diagnosing hydraulic drive of road construction machines. Technique and technology of transport. 2019; 13: 20. URL статьи: http://transport-kgasu.ru/files/N13-20TKR.19.pdf (accessed: 25.03.2025) (In Russ)
5. Piramatov U.A., Pugin K.G. Correction of methods of diagnostics of hydraulic systems of road construction machines. Construction and road building machines. 2019; 5: 37–41. (In Russ)
6. Arkhipenko M.Yu., Stroganova N.V. Modeling of the process of diagnostics of gear pumps. Vestnik SibADI. 2008; 4 (10): 69-74. (In Russ)
7. Rynkevich S.A., Khadkevich I.Yu. Experimental studies of physical properties of hydraulic drive of mobile machine. BelarusianRussian University Bulletin. 2015; 4: 68-78. (In Russ)
8. Chilikin A.A., Trushin N.N. Comparative analysis of modern methods of hydraulic systems condition diagnostics. Izvestiya Tula State University. 2014; 3: 117–127. (In Russ)
9. Pyanzov S.V. Methodology of dynamic estimation of technical condition of volumetric hydraulic drives. Izvestiya St. Petersburg State Agrarian University. 2019; 2 (55):184–191. (In Russ) DOI: https://doi.org/10.24411/2078-1318-2019-12184
10. Maksimenko A.N., Antipenko G.L., Bezdni kov D.V., Kutuzov V.V. Improvement of serviceability of hydraulic drive of construction and road building machines. Belarusian Russian University Bulletin. 2007; 4: 24–30. (In Russ)
11. Felix Ng., Jennifer A. Harding, Jacqueline Glass. Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring. Mechanical Systems and Signal Processing. 2017; 83: 176–193.
12. Blum K.H., Ellenrieder K. Validated Hydraulic Fluids for Increased Hydraulic Life. ATZoffhighway worldwide. 2017; Т. 10. no. 1: 50-55.
13. Hydraulic fluids: Controlling contamination in hydraulic fluids. Filtration & Separation. 2010; Vol. 47, no 3 (May-June 2010): 28-30.
14. Zorin V.A., Nguyen Trong M. Prediction of residual life of hydraulic motors of construction machines by results of simulation. Remont, Vosstanovlenie, Modernizatsiya (Repair, Reconditioning, Modernization). 2023;3: 15-19. (in Russ) DOI: 10.31044/1684-2561-2023-0-3-15-19
15. Zhmurov V.V., Kobzov A.Y.U., Kobzova I.O., Gerasimov S.V., Zhuk E.A. Tools for portable and builtin diagnostics of hydraulic power cylinders of machines based on load-bearing capacity parameters. Mechanical engineers to XXI century: Mechanical engineers to XXI cen. 2024; 23: 132-139. (in Russ) URL https://elibrary.ru/download/elibrary_67315115_84265878.pdf. (accessed: 22.04.2025).
Review
For citations:
Leskovets I.V., Grats A.A., Rogozhyn V.D. Dagnostics of hydraulic drive of airfield equipment. The Russian Automobile and Highway Industry Journal. 2025;22(3):356-367. (In Russ.) https://doi.org/10.26518/2071-7296-2025-22-3-356-367. EDN: DOFLIH