Sensor Fault Diagnosis Based on Wavelet Transform in Smart Grid

Article Preview

Abstract:

In the paper, the output signal of sensor in smart grid is analyzed by wavelet, which could detect and diagnose the abrupt fault of sensor. First, the applications of sensor for smart grid are introduced. Then the basic principles of fault detection of sensor using wavelet are proposed. Finally, the simulation results in MATLAB verify the feasibility of the method.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 588-589)

Pages:

680-683

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang Qiang, Sun Yu-geng, Yang Ting, Cui Zhen-hui. Applications of wireless sensor networks in smart grid[J]. China Electric Power Press. 2010. 6.

Google Scholar

[2] Zhou Dong-hua, Ye Yin-zhong, Wang Zhen, Zhang Xin-yu. Modern Fault Diagnosis and Fault Tolerant Control[M]. Beijing: Tsinghua University Press, (2000).

Google Scholar

[3] Philippe kerlirzin, Philippe Refregier. Theoretical investigation of multiplayer perceptions: analysis of the linear case and extension to nonlinear networks [J]. IEEE Transactions on neural networks, 1995, 6(3): 560-571.

DOI: 10.1109/72.377963

Google Scholar

[4] Gong Rui-kun. An application of sensor fault detection based on dispersing wavelet transforming [J] Journal of Scientific Instrument. 2001, 8.

Google Scholar