Zin, A.A.M and Rokonuzzaman, M. and Shaibon, H. and Lo, K.I. (1998) Neural network approach of harmonics detection. Energy Management and Power Delivery, 1998. Proceedings of EMPD '98. 1998 International Conference on , 2 . pp. 467-472.
This paper describes a novel approach of harmonics detection in a power system which can be used as an alternative to the conventional approaches. The proposed approach uses the multilayer feed forward neural network to determine the harmonic components in a six-pulse bridge converter. In this paper the detection of 5th, 7th, and 11th harmonic components from the distorted waves has been verified by means of the computer simulation. It is found that once trained by the learning algorithm, the neural network can determine each harmonic component very effectively and efficiently
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Deposited By:||Dr Zaharuddin Mohamed|
|Deposited On:||20 Mar 2007 00:42|
|Last Modified:||01 Jun 2010 03:00|
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