基于近邻保持嵌入的卫星姿态控制系统微小故障检测

doi:10.3969/j.issn.1674-1579.2018.02.008

Abstract

Abstract: Abstract：In this paper, an advanced neighborhood preserving embedding method combined with exponentially weighted moving average (EWMADNPE) is proposed in incipient fault detection for satellite’s attitude control system (ACS).Considering the artificial set of neighborhood parameters in neighborhood preserving embedding (NPE) algorithm, the dynamic neighborhood selection is introduced, so that the weights reconstruction matrix can be selected according to the sample density of the manifold. On the basis of this, the EWMADNPE algorithm is used to establish the squared prediction error (SPE) statistic in fault detection (FD) by exponentially weighted moving average (EWMA). The case study on a simulated satellite ACS demonstrates the effectiveness and feasibility of the proposed method.

Key words: Keywords：attitude control system, incipient fault detection, neighborhood preserving embedding, neighborhood parameters

CLC Number:

V448.2

LIU Min, LU Ning-Yun, ZHAO Gang, JIANG Bin. Incipient Fault Detection Method of Satellite Attitude Control System Based on Neighborhood Preserving Embedding[J]., 2018, 44(2): 42-48.

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URL: http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/10.3969/j.issn.1674-1579.2018.02.008

http://journal01.magtech.org.cn/Jwk3_kjkzjs/EN/Y2018/V44/I2/42

References

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Incipient Fault Detection Method of Satellite Attitude Control System Based on Neighborhood Preserving Embedding

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