Reliability Analysis on the Chassis Hydraulic System in Hydraulic Loader

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Abstract:

Hydraulic loader is a major equipment for the airport engineering, the high efficient excavation is closely related to the reliability of equipment. Due to severe environment in the construction site, the chassis hydraulic system has high failure rate in the loader. Based on the criticality matrix analysis, some fatal failure modes were traced, including the leakage of motor, the pollution of hydraulic oil, the suction air of pump. Through the reliability prediction analysis, the estimated reliability of the chassis hydraulic system is 0.27, and mean time between failures of the system is 183h, in addition, critical components in the system are also determined. The above result could be used as reference for the optimization designing.

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35-37

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. SARANGA, J. KNEZEVIC, Reliability prediction for condition based maintained systems, J. Sci. Reliability engineering and system safety. 71(2001) 219-224.

DOI: 10.1016/s0951-8320(00)00094-6

Google Scholar

[2] C.J. PRICE, N.S. TAYLOR, Automated multiple failure FMEA, J. Sci. Reliability engineering and system safety. 76(2002)1-10.

DOI: 10.1016/s0951-8320(01)00136-3

Google Scholar

[3] S. DAS, M.Y.L. CHEW, Generic method of grading building defects using FMECA to improve maintainability decisions, J. Sci. Journal of performance of constructed facilities. 25(2011)522-533.

DOI: 10.1061/(asce)cf.1943-5509.0000206

Google Scholar

[4] J. GUO, Y.J. LIU, J.Y. ZOU, Optimal maintenance oriented condition monitoring and diagnosis of vacuum circuit breaker, J. High voltage apparatus. 43(2007)454-456.

Google Scholar

[5] Y. SUN, L. MA, J. MORRIS, A practical approach for reliability prediction of pipeline systems, J. Sci. European Journal of Operational Research. 198(2009)210-214.

DOI: 10.1016/j.ejor.2008.07.040

Google Scholar

[6] S. LOLAS, O.A. Olatunbosun, Prediction of vehicle reliability performance using artificial neural networks, J. Sci. Expert systems with applications. 34(2008)2360-2369.

DOI: 10.1016/j.eswa.2007.03.014

Google Scholar