Application of kernel-ICA in monitor of phase error of current sensor

JIN Ji; LU Hua-xiang

doi:10.13873/j.1000-97872008.12.039

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Application of kernel-ICA in monitor of phase error of current sensor

更新时间：2025-09-11

- Application of kernel-ICA in monitor of phase error of current sensor
- Vol. 27, Issue 12, Pages: 112-114+117(2008)
- 作者机构：
  
  中国科学院半导体所
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872008.12.039
  CLC： TM933.312;TP212.9
- Published：2008
- 稿件说明：
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[1]金骥,鲁华祥.核ICA在电流传感器相位差监测中的应用[J].传感器与微系统,2008,27(12):112-114+117.

JIN Ji, LU Hua-xiang. Application of kernel-ICA in monitor of phase error of current sensor[J]. 2008, 27(12): 112-114+117.
[1]金骥,鲁华祥.核ICA在电流传感器相位差监测中的应用[J].传感器与微系统,2008,27(12):112-114+117. DOI： 10.13873/j.1000-97872008.12.039.

JIN Ji, LU Hua-xiang. Application of kernel-ICA in monitor of phase error of current sensor[J]. 2008, 27(12): 112-114+117. DOI： 10.13873/j.1000-97872008.12.039.

摘要

介绍了核独立分量分析（ICA）的基本原理和算法

并将其用于对电流传感器输出的混合信号进行分离

通过比较分离出的单频测试信号输入前后的相位差

来标定传感器本身的相位差对其检测对象的影响。此外

还采用最大似然法对核ICA的分离效果进行评价。实验证明:在输入信号的信噪比为18.73dB的情况下

核ICA分离出的信号与源信号相位差在0.002 rad以内

达到了实际应用中所要求的误差范围。

Abstract

The principle and algorithm of kernel independent component analysis（kernel-ICA） is introduced and it is applied to separate the mixed signal at the output of the current sensor.The phase difference of the sensor is ascertained by computing the one between the single-frequency testing signal and its original input.Moreover

the maximum likelihood estimation is applied to evaluate the separated results kernel-ICA.Experiment results show that the phase error generated by kernel-ICA is less than 0.002rad when the SNR of the input signal is 18.73dB.Therefore this algorithm is able to meet the practical demand of the engineering.

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references

任意概率密度信号的盲分离 [J]. 丁铎,贾永强,王映民. 微计算机信息 . 2005(20)

输变电设备状态在线监测与诊断技术现状和前景 [J]. 孙才新. 中国电力 . 2005(02)

电容型设备在线监测数据的分析方法 [J]. 张会平,谈克雄,董凤字,王晋昌. 高电压技术 . 2002(04)

盲信号处理[M]. 国防工业出版社 , 马建仓,牛奕龙,陈海洋编, 2006

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