DLLE-EWMA based Incipient Fault Detection for Satellite Attitude Control System

被引：0
|
作者：
Zhao, Gang [1 ]
Yang, Tia Tianshe [1 ]
Liu, Min [2 ]
Cheng, Yuehua [3 ]
Lu, Ningyun [2 ]
机构：
[1] Xian Satellite Control Ctr, Xian, Shaanxi, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Coll Astronaut, Nanjing, Jiangsu, Peoples R China
来源：
2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年
关键词：
Incipient Fault Detection; Locally Linear Embedding; Satellite Attitude Control System; DIAGNOSIS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, an incipient fault detection (FD) method that is applied to satellite attitude control system (ACS), is proposed based on the locally linear embedding algorithm with dynamic neighborhood parameters (DLLE) and the exponentially weighted moving average (EWMA) strategy. Dynamic neighborhood parameter selection is introduced to LLE, so that the weight reconstruction matrix can be determined according to the sample density of the manifold. Then, the DLLE algorithm is integrated with EWMA in both the latent and residual subspaces to establish the EWMA-T-2 and EWMA-SPE statistics for incipient fault detection. Case study is conducted using the real telemetry data from two on-orbit satellites, and the results can demonstrate the effectiveness and feasibility of this proposed incipient FD method.
引用
收藏
页码：709 / 714
页数：6
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