Application of ICA in on-line verification of the phase difference of the current sensor
Data(s) |
2006
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Resumo |
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. 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. zhangdi于2010-03-29批量导入 Made available in DSpace on 2010-03-29T06:06:23Z (GMT). No. of bitstreams: 1 2371.pdf: 323101 bytes, checksum: 53a9860e57b042dca54c63ea11834092 (MD5) Previous issue date: 2006 Chinese Univ Hong Kong.; Asia Pacific Neural Network Assembly.; K C Wong Educ Fdn. Chinese Acad Sci, Inst Semicond, Neural Network Lab, Beijing 100083, Peoples R China Chinese Univ Hong Kong.; Asia Pacific Neural Network Assembly.; K C Wong Educ Fdn. |
Identificador | |
Idioma(s) |
英语 |
Publicador |
SPRINGER-VERLAG BERLIN HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY |
Fonte |
Ma, XY (Ma, Xiaoyan); Lu, HX (Lu, Huaxiang) .Application of ICA in on-line verification of the phase difference of the current sensor .见:SPRINGER-VERLAG BERLIN .NEURAL INFORMATION PROCESSING丛书标题: LECTURE NOTES IN COMPUTER SCIENCE ,HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY ,2006,PT 3 PROCEEDINGS 4234: 488-497 |
Palavras-Chave | #人工智能 #independent component analysis (ICA) #independent subspace analysis #relative likelihood index #current sensor #BLIND SOURCE SEPARATION |
Tipo |
会议论文 |