Estimation on the Reliability of Farm Vehicle Based on Artificial Neural Network |
| |
| Authors: | WANG Jinwu Engineering College Northeast Agricultural University Harbin China |
| |
| Institution: | Engineering College, Northeast Agricultural University, Harbin 150030, China |
| |
| Abstract: | As a peculiar product in China today, farm vehicles play an important role in economic construction and development of the countryside, but its work reliability remains low. In this paper truncated tracking was used to solve the low reliability of farm vehicles. Relevant reliability data were obtained by tracking a certain model vehicle and conducting reliability experiments. Data analysis revealed the weakest part of the vehicle system was the engine assembly. The theory of Artificial Neural Network was employed to estimate a parameter of the reliability model based on self-adaptive linear neural network, and the reliability function educed by the estimation could provide important theory references for reliability reassignment, manufacture and management of farm transport vehicles. |
| |
| Keywords: | farm vehicle reliability model neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
