Anomaly detection for satellite power subsystem with associated rules based on Kernel Principal Component Analysis

被引:55
作者
Pan, Dawei [1 ]
Liu, Datong [2 ]
Zhou, Jun [3 ]
Zhang, Guoyong [3 ]
机构
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Harbin Inst Technol, Dept Automat Test & Control, Harbin 150080, Peoples R China
[3] Shanghai Inst Satellite Engn, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Anomaly detection; Associated rules; KPCA; Satellite power subsystem;
D O I
10.1016/j.microrel.2015.07.010
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
The paper presents an implementable method of anomaly detection for satellite power system. Specifically, a data-driven anomaly detection method for sensor data integrated Kernel Principal Component Analysis (KPCA) and association rule mining is demonstrated. Establishing associated rules among sensor monitoring data sets, this approach analyses the structure of measure space via its Eigen matrix with KPCA, and identifies the anomaly. Especially, different anomalies from satellite system and sensors can be distinguished with the changes of association rules. The effectiveness of the method is proved on sensor data from Feng-Yun satellite power subsystem. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2082 / 2086
页数:5
相关论文
共 13 条
[1]
Easy and Fast Sensor Fault Detection and Isolation Algorithm for Electrical Drives [J].
Berriri, Hanen ;
Naouar, Mohamed Wissem ;
Slama-Belkhodja, Ilhem .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2012, 27 (02) :490-499
[2]
Elkoujok M., IEEE C PROGN HLTH MA, P24
[3]
A Sensor Fault Detection and Isolation Method in Interior Permanent-Magnet Synchronous Motor Drives Based on an Extended Kalman Filter [J].
Foo, Gilbert Hock Beng ;
Zhang, Xinan ;
Vilathgamuwa, D. M. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (08) :3485-3495
[4]
Jinkyu L., IEEE 34 REAL TIM SYS, P97
[5]
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases [J].
Eamonn Keogh ;
Kaushik Chakrabarti ;
Michael Pazzani ;
Sharad Mehrotra .
Knowledge and Information Systems, 2001, 3 (3) :263-286
[6]
Lall P., IEEE T COMPON PACKAG, V2
[7]
Lee B., INT S SYST CONTR AER, P1169
[8]
Li C., IEEE C DAT MIN 2008, P313
[9]
Park A., IEEE C AC SPEECH SIG, P14
[10]
Peng Kaixiang, 2014, [自动化学报, Acta Automatica Sinica], V40, P423