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

Author:

Pan Dawei,Liu Datong,Zhou Jun,Zhang Guoyong

Funder

Guangxi Key Laboratory of Automatic Detecting Technology and Instruments

National Natural Science Foundation of China

Natural Scientific Research Innovation Foundation in Harbin Institute of Technology

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Surfaces, Coatings and Films,Safety, Risk, Reliability and Quality,Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference13 articles.

1. Design and management of satellite power systems;Jinkyu,2013

2. Fault diagnosis of the satellite power system based on the Bayesian network;Siyun,2013

3. Prognostic and health management for avionics;Wilkinson,2004

4. Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems;Elkoujok,2013

5. Anomaly detection and classification for PHM of electronics subjected to shock and vibration;Lall;IEEE Trans. Compon. Packag. Manuf. Technol.,2012

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