Please use this identifier to cite or link to this item:
http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/7495
Title: | Wireless Sensor Network based Structural Health Monitoring Expert System |
Authors: | Nuhu, B.K. Olaniyi, Olayemi Mikail Aliyu, Ibrahim JeKyeong, Ryu Lim, C. G |
Keywords: | Structural health monitoring Wireless sensor network Expert system |
Issue Date: | 2019 |
Publisher: | Global Vision Press Australia |
Citation: | Nuhu, B. K., Olaniyi, O. M., I. Aliyu, JeKyeong Ryu, and C. G Lim (2019). Wireless Sensor Network based Structural Health Monitoring Expert System. International Journal of Wearable Device,6(1):9-16 |
Abstract: | Structural Health Monitoring (SHM) is a process of detecting damages in Engineering structures in order to reduce the frequency of collapse of buildings. In this work, an expert system was incorporated into SHM for monitoring residential buildings. The developed system used a Wireless Sensor Network (WSN) based on a 2.4GHz Radio Frequency (RF) band. The developed expert system is based on fuzzy inference and decision-making process also based on British Standard (BS): 7385 - Evaluation and measurement for vibration in building and BS 13670:2009. From the performance evaluation result, the system’s reliability was calculated to be decreasing from 99% to 50% over a space of 100 years. Energy utilization results showed that the system has the capability to operate with 30% of its energy saved, thereby working for longer hours. The developed system showed a remarkable level of reliability and the energy-saving capability is good. Hence, the system is adequate for SHM. |
Description: | Wireless Sensor Network based Structural Health Monitoring Expert System |
URI: | http://dx.doi.org/10.21742/ijwd.2019.6.1.02 http://repository.futminna.edu.ng:8080/jspui/handle/123456789/7495 |
Appears in Collections: | Computer Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Nuhu et al 2019.pdf | Wireless Sensor Network based Structural Health Monitoring Expert System | 440.9 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.