Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution

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.

本文解决了从N个传感器组成的线性阵列中检测完全或部分缺陷传感器的问题。本文首先提出了一种线性阵列的对称结构,其次,基于结合差分进化的文化算法,建立了一种混合技术。对称结构具有两个优点:(1)不需要找到所有损坏的模式,仅需找到(N–1)/2个必需模式;(2)不需要扫描0°到180°区域,仅需扫描0°到90°区域。显然,这样可以减少计算的复杂度。通过Monte Carlo模拟对该方案性能进行了验证,并在计算时间和均方误差方面与现有方法进行了比较。