The Research and Analysis on Failure Distribution Model of Diesel Engine Component Parts

Shaokun Wang,Guanfeng Wang,Yamei Zhou,Shuai Yang,Xiang Li,Qiang Zhang,D Zhang,B Zi,H Ding,G Cui

doi:10.1051/matecconf/20167701010

Abstract

Reliability research not only provides the direction of quality improvement for new product research and development, but also helps to get the product failure distribution model, so as to ensure the logistics organization to improve the service level. According to the reliability data from the database of research group, we analyzed the rule of failure distribution of high frequency fault component (fuel injection pump) and built a Weibull model. The parameters of the model are estimated and solved by using the uniform linear method and the least square method. After solving the model, the density function curves and the failure rate curves are drawn, and then the model of the demand forecasting of spare parts based on the failure distribution is obtained.

Highlights

At present, there is still a gap of the overall quality level of the engine between our country and the developed countries
The average life expectancy is lower than abroad, and there will be various faults during operation. This phenomenon requires to improving the quality level and improving the quality of the engine
Reliability research provides the direction of quality improvement for new product research and development, and helps to get the product failure distribution model, so as to ensure the logistics organization to improve the service level

Summary

Introduction

There is still a gap of the overall quality level of the engine between our country and the developed countries. The average life expectancy is lower than abroad, and there will be various faults during operation This phenomenon requires to improving the quality level and improving the quality of the engine. Abernethy summarizes a variety of commonly used parameters estimation model which is related to the Weibull distribution, method and application in product life distribution, and gives a lot of data analysis examples [2]. The failure distribution model of the fuel injection pump is established by using the uniform linear method to estimate the parameters. For three-parameters Weibull model, t is product life, F(t) is the cumulative failure probability distribution function. ܺ௜ = ݈݊(‫ݐ‬௜ − ߛ) When the number of samples is less than 20, the cumulative failure probability can be calculated by using the median rank, F(t୧). Using SPSS to calculate the parameters of the estimated value and obtain the failure distribution model, density function, failure rate function

Establishment for parts demand model

Solution and analysis of failure distribution model of injection pump

Parts demand model solution

Conclusion