Application of Support Vector Machine Regression in Failure Analysis of Fan Pump in Amphibious Assault Vehicles

Abstract:

Hydraulic motor is one of the elements with a high occurrence rate of failure in hydraulic system of amphibious assault vehicles. When the fan pump leakage reaches the limit value allowed, the fan pump should be renewed or overhauled. Through an analysis of the influencing factors that affect fan pump leakage of amphibious assault vehicles, this article establishes a support vector machine (SVM) regression model for fan pump leakage and gets a maximum relative error of 4% between the fitted value and the measured value of fan pump, which offers more reliable evidence for scientific determination of renewal period or overhaul period of fan pump.

• Periodical: Advanced Materials Research (Volumes 591-593)
• Pages: 1982-1985
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.591-593.1982
• Online since: November 2012
• Authors: Min Lin, Jian Hua Chen, Liang Hai Yi, Jun Li
• Keywords: Amphibious Assault Vehicle, Failure Analysis, Fan Pump, SVM Regression

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