A fault detection method based on wavelet theory for satellite power systems

Author

Wang Dong ; Zhang Shaojie ; Shuang Weifang ; Wang Li ; Yin Jing ; Yuan Yuanming

Author_Institution

Coll. of Autom., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China

fYear

2015

fDate

23-25 May 2015

Firstpage

2566

Lastpage

2570

Abstract

Considering that the temperature sensors of satellite power systems are sensitive to the noise, a fault detection method based on the theory of wavelet entropy and the wavelet multi-scale products is purposed to reduce the influence of the noise. Wavelet entropy is applied to amplify the signal-noise ratio by finding the optimal de-noising threshold. Besides, by using of the multi-scale products, the proportion coefficients are further magnified. Then the fault time could be determined by the modulus maximum. Finally, simulation for a class of satellite power systems is conducted, verifying the effectiveness of the proposed method.

Keywords

aircraft power systems; entropy; fault diagnosis; power system reliability; wavelet transforms; fault detection method; modulus maximum; optimal denoising threshold; satellite power system; signal-noise ratio amplify; temperature sensors; wavelet entropy theory; wavelet multiscale products; Entropy; Noise; Noise reduction; Power systems; Satellites; Wavelet coefficients; De-noising; Fault Detection; Satellite Power Systems; Wavelet Entropy; Wavelet Multi-scale Products; Wavelet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2015 27th Chinese

Conference_Location

Qingdao

Print_ISBN

978-1-4799-7016-2

Type

conf

DOI

10.1109/CCDC.2015.7162354

Filename

7162354