Название |
Vibration diagnostics of hydraulic dozer drives |
Информация об авторе |
NorNickel’s Polar Division, Norilsk, Russia:
T. P. Darbinyan, Director of the Mining Practice Department, DarbinyanTP@nornik.ru M. G. Kotelnikov, Deputy Director of Industrial Assets Department
Fedorovsky Polar State University, Norilsk, Russia:
R. V. Melnikov, Acting Head of Department, Associate Professor, Candidate of Engineering Science E. V. Lagovskaya, Associate Professor, Candidate of Engineering Science |
Реферат |
The most labor-consuming maintenance element in mining is repair—it can amount to 70 % of total by-work load. Improvement of repair methods and reduction in number of equipment failures can save cost of repair. An important task in operation of mining machines is studying the feasibility of transition from the scheduled maintenance and repair to the condition-based maintenance. To this effect, it is necessary to upgrade diagnostic techniques. Hydraulic drives are widely employed in mining machines. One of the ways of trouble-shooting improvement is advancement of vibration diagnostics advantageous for the eliminated assembling–dismantling, simplicity of the vibration sensor installation, and low sensitivity to various exposures of a mining machine. Vibration diagnostics enjoys wide application in many areas of engineering and is highly promising for diagnosing of hydraulic dozer drives. This article presents the experimental studies into vibration spectra of walls in the pressure and drain lines in some dozers. The studies have found that the main harmonics of feed pulsations governed by operation of volumetric pumps is observed along the whole length of the pressure line. Therefrom, the authors put forward an idea of detecting spillovers in hydraulic systems. The theoretical computations of vibration parameters are currently very complicated. The leading part in the vibration diagnostics development should belong to the experimental research. |
Библиографический список |
1. Sosnovskiy L. I., Bolotnev A. Yu. Optimizing service life of mine excavators operating in cold climate regions. Izvestiya SO RAEN. Geologiya, poiski i razvedka rudnykh mestorozhdeniy. 2014. No. 3(46). pp. 85–90. 2. Rakhutin M. G. Justification methodology for limiting state and reserve of hydraulic drive elements in mining machines : thesis of inauguration of Dissertation ... of Doctor of Engineering Sciences. Moscow, 2010. 35 p. 3. Lepesh A. G., Sproge G. A. The comparative analysis of the methods of technical diagnosing used in case of assessment technical condition of the object. Tekhniko-tekhnologicheskie problemy servisa. 2016. No. 2(36). pp. 22–40. 4. Klyuev V. V. (Ed.). Non-destructive control : reference book. 2nd corrected edition. Moscow : Mashinostroenie, 2005. Vol. 7, Book 2. Vibrodiagnostics. 829 p. 5. Shirman A., Solovev A. Applied vibrodiagnostics and monitoring of machinery. Moscow, 1996. 276 p. 6. Popov A. Yu. Simulation modeling of the volumetric hydraulic drive. Traktory i selkhozmashiny. 2018. No. 3. pp. 45–53. 7. Nosenko A. S., Isakov V. S., Domnitskiy A. A., Zubov V. V. Modeling of transition processes in a hydraulic actuator loading and transport modules. Internet-zhurnal “Naukovedenie”. 2017. Vol. 9, No. 2. 8. Cherepov V. G., Zenzerov V. I. Modeling operation of hydraulic drives of mining machines. Information Science, Control Systems, Mathematical and Computer Modeling—IUSMKM 2017 : Proceedings of VII International Conference at III International Forum in the Donetsk People Republic. Donetsk : Donetskiy natsionalnyi tekhnicheskiy universitet, 2017. pp. 83–87. 9. Barkov A. V., Barkova N. A., Fedorishchev V. V. Vibration diagnostics of wheel–hub drives of railway vehicles. Saint-Petersburg : SPbGMTU, 2002. 103 p. 10. Shawki A Abouel-seoud. Fault detection enhancement in wind turbine planetary gearbox via stationary vibration waveform data. Journal of Low Frequency Noise, Vibration and Active Control. 2018. Vol. 37, Iss. 3. pp. 477–494. 11. Jianxing Zhou, Wenlei Sun, Li Cao. Vibration and noise characteristics of a gear reducer under different operation conditions. Journal of Low Frequency Noise, Vibration and Active Control. 2019. Vol. 38, Iss. 2. pp. 574–591. 12. Alamelu Manghai T. M., Jegadeeshwaran R. Vibration based real time brake health monitoring system – A machine learning approach. IOP Conference Series: Materials Science and Engineering. 2019. Vol. 624. 012027. DOI: 10.1088/1757-899X/624/1/012027 13. Pugin K. G. Improving the reliability of hydraulic systems of technological machines. IOP Conference Series: Materials Science and Engineering. 2020. Vol. 971, No. 5. 052042. DOI: 10.1088/1757-899X/971/5/052042 14. Hongbin Tang, Zheng Fu, Yi Huang. A fault diagnosis method for loose slipper failure of piston pump in construction machinery under changing load. Applied Acoustics. 2021. Vol. 172. 107634. DOI: 10.1016/j.apacoust.2020.107634 15. Gerike B. L., Klishin V. I. Vibration analysis of energy-mechanical equipment of mining shovels. Fundamentalnye i prikladnye voprosy gornykh nauk. 2018. Vol. 5, No. 2. pp. 221–228. 16. Suherna S., Nurdin A., Kurnia I. D. Analisis Kerusakan bolt t andem main pump pada unit excavator Hitachi EX 2500. Jurnal Rekayasa Mesin Dan Inovasi Teknologi. 2020. Vol. 1, No. 1. pp. 17–23. 17. Drygin M. Yu. The control of vibration of the basic units of a dredge in a mode of real time. Gornoe oborudovanie i elektromekhanika. 2010. No. 3. pp. 27–31. 18. Andrenko P. N., Grigorev A. L., Lure Z. Ya., Sklyarevskiy A. N. Interference of pressure waves in elements of positive-displacement hydraulic units. Vostochno-Evropeyskiy zhurnal peredovykh tekhnologiy. 2008. Vol. 6, No. 5(36). pp. 35–47. 19. Mogendovich E. M. Hydraulic pulse-generating systems. Leningrad : Mashinostroenie, 1977. 216 p. |