Application of Adaptive Neural Network for Virtual Measurement System in Power Signal Analysis

被引：0
|
作者：
Chin, Yuan-Chieh [1 ]
Chen, Cheng-Chu [2 ]
Chin, Yu-Han [3 ]
机构：
[1] Chien Kuo Technol Univ, Dept Elect Engn, Changhua, Taiwan
[2] Chienkuo Tech Univ, Changhua, Taiwan
[3] Natl Chung Cheng Univ, Chiayi 621, Taiwan
来源：
2014 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII) | 2014年
关键词：
GENERATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
he analysis of electrical quantities is important for the evaluation of power signal. However, there are many different analysis methods for power disturbances in the literature. This circumstance would lead to the difficulty in the design of a low-cost measurement system. In this paper, the design and implementation of a virtual measurement system based on the adaptive neural network (ADALINE) is introduced. The main advantages of the designed system are the simplification and integration for the harmonic analyzer and e-learning platform by adopting the convenient computational mechanism. The performance of proposed virtual measurement system can be verified with test results.
引用
收藏
页码：531 / 535
页数：5
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