计算
导线
进化计算
导电体
电子工程
电流(流体)
计算机科学
差异进化
进化算法
可靠性(半导体)
算法
电气工程
工程类
数学
物理
几何学
人工智能
功率(物理)
量子力学
机器学习
作者
Lichan Meng,Pengfei Gao,Moosa Moghimi Haji,Wilsun Xu
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2015-10-01
卷期号:64 (10): 2747-2758
被引量:22
标识
DOI:10.1109/tim.2015.2419032
摘要
A novel and accurate AC current measurement method for multiconductor cables is proposed in this paper by employing magnetic sensor arrays and evolutionary algorithms. The positions of several conductors within the electrical cables are determined by the computing method. Then the currents in these conductors can be measured in real time by using a matrix multiplication computation. The mathematical model for estimating conductor currents is investigated considering two configurations, i.e., single conductor and multiconductors in the cable. Evolutionary computation methods are investigated and implemented to improve the computing accuracy. In particular, the performances of a variety of evolutionary algorithms in the current computation are compared. The differential evolution (DE) computation method is found outperforming other methods after conducting numerous simulation studies. Finally, comprehensive experiments are carried out by utilizing the DE method to validate the theoretical studies. The experimental results sufficiently verify the feasibility and reliability of the proposed AC current measurement method for multiconductor cables.
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