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Application of FastICA in on-line calibration of the current sensor's phase difference

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2 Author(s)
Gong Guoliang ; Neural Network Lab., Inst. of Semicond., Beijing, China ; Lu Huaxiang

The performance of the current sensor in power equipment may become worse affected by the environment. In this paper, a phase difference measurement method based on FastICA is proposed to calibrate the phase difference of the current sensor on-line. However, not all source components are mutually independent in our application. Additionally, due to limitations of the algorithm, the phase errors of the separated results are different in different test runs. In order to get an exact result, we have proposed an evaluation index to choose an optimal result from different runs. The index is based on the relationship of mapping components to observed signals. Simulation results indicate that the method presented in this paper is effective and feasible.

Published in:

Natural Computation (ICNC), 2012 Eighth International Conference on

Date of Conference:

29-31 May 2012