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Frontiers of Information Technology & Electronic Engineering

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01-02-2017

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

Authors: Shafqat Ullah Khan, Ijaz Mansoor Qureshi, Fawad Zaman, Wasim Khan

Published in: Frontiers of Information Technology & Electronic Engineering | Issue 2/2017

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Abstract

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.

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Title: Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution
Authors: Shafqat Ullah Khan
Ijaz Mansoor Qureshi
Fawad Zaman
Wasim Khan
Publication date: 01-02-2017
Publisher: Zhejiang University Press
Published in: Frontiers of Information Technology & Electronic Engineering / Issue 2/2017
Print ISSN: 2095-9184
Electronic ISSN: 2095-9230
DOI: https://doi.org/10.1631/FITEE.1500315

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