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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2017 Vol.18 No.2 P.235-245
Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution
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.
Key words: Cultural algorithm, Differential evolution, Linear symmetrical sensor array
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DOI:
10.1631/FITEE.1500315
CLC number:
TN929
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On-line Access:
2024-08-27
Received:
2023-10-17
Revision Accepted:
2024-05-08
Crosschecked:
2017-01-03