Application of ICA in on-line verification of the phase difference of the current sensor

Authors:
Xiaoyan Ma;Huaxiang Lu
Affiliations:
Neural Network Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China;Neural Network Laboratory, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Year:
2006

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Abstract

The performance of the current sensor in power equipment may become worse affected by the environment. In this paper, based on ICA, we propose a method for on-line verification of the phase difference of the current sensor. However, not all source components are mutually independent in our application. In order to get an exact result, we have proposed a relative likelihood index to choose an optimal result from different runs. The index is based on the maximum likelihood evaluation theory and the independent subspace analysis. The feasibility of our method has been confirmed by experimental results.