Research on Life Prediction of Airborne Fuel Pump Based on Combination of Degradation Data and Life Data

被引：3

作者：

Sun, Meng ^{[1
]}

Jing, Bo ^{[1
]}

Jiao, Xiaoxuan ^{[1
]}

Chen, Yaojun ^{[1
]}

Si, Shuhao ^{[1
]}

Wang, Yun ^{[1
]}

机构：

[1] Air Force Engn Univ, Aeronaut Engn Coll, Xian, Shaanxi, Peoples R China

来源：

2018 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHONGQING 2018) | 2018年

关键词：

fuel pump degradation testing platform; drift wiener process; parameter estimation; life prediction;

D O I：

10.1109/PHM-Chongqing.2018.00119

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The airborne fuel pump as a typical high-reliability, long-life electromechanical component, its life prediction has problems such as small sample size and low prediction accuracy. Firstly, the degradation testing platform for airborne fuel pump is designed to obtain degradation data and life data. Secondly, a drift wiener process degradation model based on the combination of degradation data and life data is established. Finally, the life prediction is performed. The results show that predicted life of the airborne fuel pump, by the drift wiener process degradation model based on the combination of degradation data and life data, is closer to the true value and has higher accuracy, comparing to that by drift wiener process degradation model based on degenerate data.

引用

页码：664 / 668

页数：5

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