Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution
Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution作者机构:School of Engineering & Applied Sciences ISRA University Islamabad 44000 Pakistan ElectricalDepartment Air University Islamabad 44000 Pakistan Electrical Department COMSAT Instimte of lnformation Technology Attock 44000 Pakistan Electronic Engineering Department International Islamic University H-10 lslamabad 44000 Pakistan
出 版 物:《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿(英文版))
年 卷 期:2017年第18卷第2期
页 面:235-245页
核心收录:
学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统]
基 金:Project supported by the Higher Education Commission of Pakistan
主 题:Cultural algorithm Differential evolution Linear symmetrical sensor array
摘 要:The detection of fully and partially defective sensors in a linear array composed of N sensors is addressed. First, the symmetrical structure of a linear array is proposed. Second, a hybrid technique based on the cultural algorithm with differential evolution is developed. The symmetrical structure has two advantages: (1) Instead of finding all damaged patterns, only (N-1)/2 patterns are needed; (2) We are required to scan the region from 0° to 90°instead of from 0° to 180°. Obviously, the computational complexity can be reduced. Monte Carlo simulations were carried out to validate the performance of the proposed scheme, compared with existing methods in terms of computational time and mean square error.