Health Status Management of Spacecraft Power System Based on Hidden Markov Model

被引：0

作者：

Qiu, Rui ^{[1
]}

Qin, Wei ^{[1
]}

Wang, Xiaochen ^{[1
]}

Yan, Lingwei ^{[1
]}

Han, Hongbo ^{[1
]}

机构：

[1] China Acad Space Technol, Beijing 100094, Peoples R China

来源：

PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN) | 2014年

关键词：

Health Management; Spacecraft Power System; Hidden Markov Model;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The anomaly detection and prediction of spacecraft power system is an essential factor in determination of the spacecraft health status. This paper proposed a Hidden Markov Model (HMM) based approach to the problem. Health status set was first established according to expert knowledge and operation experience. Model parameters, health index and baseline were then designed for HMM. Probabilities of health status were finally determined using observed data with the HMM method. Two experiments were conducted to demonstrate the effectiveness of our new approach.

引用

页码：673 / 677

页数：5

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