Influence of Maintenance Practice on MTBF of Industrial and Mobile Hydraulic Failures: A West Balkan Study

OROSNJAK, Marko; Delić, M.; Ramos, S.

doi:10.1007/978-3-030-88465-9_62

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Influence of Maintenance Practice on MTBF of Industrial and Mobile Hydraulic Failures: A West Balkan Study

OROSNJAK, Marko; Delić, M.; Ramos, S.

2022 • In Rackov M.; Mitrović R.; Čavić M. (Eds.) Machine and Industrial Design in Mechanical Engineering

Peer reviewed

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https://hdl.handle.net/10993/63718

DOI
10.1007/978-3-030-88465-9_62

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Keywords :

Contamination control; Filter management; Hydraulic failures; Maintenance policy; Mean-time-between-failures; Stepwise multiple regression; Hydraulic equipment; Maintenance; Planning; Systems engineering; Hydraulic failure; Hydraulic system; Maintenance practices; Mean time between failures; Property; System failures

Abstract :

[en] The article investigates the influence of maintenance practice on the MTBF (Mean-Time-Between-Failures) of hydraulic system failures. Firstly, the paper starts by challenging the argument that contamination is at least 70% responsible for hydraulic system failures. Secondly, independent maintenance variables that potentially influence MTBF are synthesised and investigated via Person’s correlation factor. Although some predictors (variables) show good prediction properties, however, show discrepancy while being subjected to different maintenance policies. Eight selected predictors were subjected to Stepwise Multiple Regression (SMR) for selecting the most appropriate solution. Finally, four main predictors (p < 0.05) are selected: Machine Age (MA), Filter Replacement Time (FRT), Failure Analysis Personnel (FAP) and Maintenance Policy (MP) applied. The results show that the suggested model shows good prediction properties (R2 = 83.51) in estimating the MTBF of hydraulic machines. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Disciplines :

Mechanical engineering

Author, co-author :

OROSNJAK, Marko ; University of Novi Sad, Faculty of Technical Sciences > Industrial Engineering and Management > Quality, Effectiveness and Logistics

Delić, M.; Instituto Politécnico Do Porto, Instituto Superior de Engenharia, R. Dr. António Bernardino de Almeida, 431, Porto, Portugal

Ramos, S.

External co-authors :

yes

Language :

English

Title :

Influence of Maintenance Practice on MTBF of Industrial and Mobile Hydraulic Failures: A West Balkan Study

Publication date :

2022

Event name :

11th International Conference on Machine and Industrial Design in Mechanical Engineering

Event organizer :

Faculty of Technical Sciences, Department of Mechanical Engineering

Event place :

Novi Sad, Serbia

Event date :

From 10.06.2021 - 12.06.2021

Event number :

Audience :

International

Main work title :

Machine and Industrial Design in Mechanical Engineering

Editor :

Rackov M.

Mitrović R.

Čavić M.

Publisher :

Springer Science and Business Media B.V., Germany

Edition :

Collection ISSN :

2211-0992

Peer reviewed :

Peer reviewed

Additional URL :

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125248121&doi=10.1007%2f978-3-030-88465-9_62&partnerID=40&md5=0ccc6564902118d7ffd8b90e5599819d

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Bibliography

Espinosa-Garza, G., De Jesus Loera-Hernandez, I.: Improvement of productivity in hydraulic systems with servomechanisms. Procedia Manuf. 41, 779–786 (2019)
Ng, F., Harding, J.A., Glass, J.: Improving hydraulic excavator performance through in line hydraulic oil contamination monitoring. Mech. Syst. Signal Process. 83, 176–193 (2017)
Tič, V., Edler, J., Lovrec, D.: Operation and accuracy of particle counters for on-line condition monitoring of hydraulic oils. Ann. Fac. Eng. Hunedoara 425–428 (2012)
Mariusz, D., Hassan, M., Joanna, D.: Simulation of particle erosion in a hydraulic valve. Terotechnology 5, 17–24 (2018)
Karanović, V., Jocanović, M., Baloš, S., Knežević, D., Mačužić, I.: Impact of contaminated fluid on the working performances of hydraulic directional control valves. Stroj. Vestnik/J. Mech. Eng. 65, 139–147 (2019)
Baker, M.: Most Common Causes of Hydraulic Systems Failure. https://yorkpmh.com/resour ces/common-hydraulic-system-problems
MACHydraulics: Effects of Temperature on Hydraulic Systems. https://mac-hyd.com/blog/hydraulic-system-temperatures
Orošnjak, M., Jocanović, M., Karanović, V.: Quality analysis of hydraulic systems in function of reliability theory. In: Proceedings of the 27th DAAAM International Symposium on Intelligent Manufacturing and Automation, pp. 569–577. DAAAM International, Vienna (2016)
Jocanovic, M., Agarski, B., Karanovic, V., Orosnjak, M., Ilic Micunovic, M., Ostojic, G., Stankovski, S.: LCA/LCC Model for evaluation of pump units in water distribution systems. Symmetry-Basel 11(9), 1181-1–1181-21 (2019)
Runje, B., Horvatic Novak, A., Keran, Z.: Impact of the quality of measurement results on conformity assessment. In: Proceedings of the 29th DAAAM International Symposium on Intelligent Manufacturing and Automation, pp. 51–55. DAAAM International, Vienna (2018)
Karanović, V.V, Jocanović, M.T., Wakiru, J.M., Orošnjak, M.D.: Benefits of lubricant oil analysis for maintenance decision support: a case study. IOP Conf. Ser.: Mater. Sci. Eng. 393, 012013-1–012013-8 (2018)
Orošnjak, M., Jocanović, M., Karanović, V.: Applying contamination control for improved prognostics and health management of hydraulic systems. In: Ball, A., Gelman, L., Rao, B. (eds.) Advances in Asset Management and Condition Monitoring: Smart Innovation, Systems and Technologies, vol. 166, pp. 583–596. Springer, Cham (2020)
Sellitto, M.A.: Analysis of maintenance policies supported by simulation in a flexible manufacturing cell. Ingeniare 28(2), 293–303 (2020)
Vineyard, M., Amoako-Gyampah, K., Meredith, J.R.: An evaluation of maintenance policies for flexible manufacturing systems. Int. J. Oper. Prod. Manag. 20, 409–426 (2000)
Paprocka, I., Kempa, W.M., Skołud, B.: Predictive maintenance scheduling with reliability characteristics depending on the phase of the machine life cycle. Eng. Optim. 53, 165–183 (2021)