Wireless fault tolerances decision using artificial intelligence technique

• Main Authors: Lilo, M. A., Latiff, L. A., Abu, A. B. H., Al Mashhadany, Y. I.
• Format: Article
• Language: English
• Published: Asian Research Publishing Network 2016
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/72583/1/MoneerAliLilo2016_WirelessFaultTolerancesDecision.pdf; http://eprints.utm.my/id/eprint/72583/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84969524609&partnerID=40&md5=6f9939023a0bb7fbe41b2211e1360a0e

Wireless techniques utilized in industrial applications face significant challenges in preventing noise, collision, and data fusion, particularly when wireless sensors are used to identify and classify fault in real time for protection. This study will focus on the design of integrated wireless faul...