| Regular Papers |
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| Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution |
| Shafqat Ullah Khan, Ijaz Mansoor Qureshi, Fawad Zaman, Wasim Khan |
| School of Engineering & Applied Sciences, ISRA University, Islamabad 44000, Pakistan; Electrical Department, Air University, Islamabad 44000, Pakistan; Electrical Department, COMSAT Institute of Information Technology, Attock 44000, Pakistan; Electronic Engineering Department, International Islamic University, H-10, Islamabad 44000, Pakistan |
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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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Received: 26 September 2015
Published: 10 February 2017
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