2016 International Wireless Communications and Mobile Computing Conference (IWCMC) 2016
DOI: 10.1109/iwcmc.2016.7577113
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Performance evaluation of experimental damage detection in structure health monitoring using acceleration

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Cited by 7 publications
(7 citation statements)
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“…A close look at civil infrastructures everywhere and their importance shows how essential it is to use new technologies to monitor these structures on social and economic life. That leads to a great need for advanced methods for monitoring such structures and detecting (or even predicting) the damage [128]. Unfortunately, the normal practice these days is to detect/predict the damage based on visual inspection using very traditional methods such as nondestructive testing, reinforcement detectors, and using hammers to check for delamination.…”
Section: ) Structure Health Monitoring (Shm)mentioning
confidence: 99%
“…A close look at civil infrastructures everywhere and their importance shows how essential it is to use new technologies to monitor these structures on social and economic life. That leads to a great need for advanced methods for monitoring such structures and detecting (or even predicting) the damage [128]. Unfortunately, the normal practice these days is to detect/predict the damage based on visual inspection using very traditional methods such as nondestructive testing, reinforcement detectors, and using hammers to check for delamination.…”
Section: ) Structure Health Monitoring (Shm)mentioning
confidence: 99%
“…There are some researches and applications that use the vibration data to detect whether the devices or facilities are faulty or not [1,2,4,10]. However, most of them only do a simple treatment with the vibration data which causes low accuracy.…”
Section: Fault Detection With Vibration Datamentioning
confidence: 99%
“…Reference [2] presents a prototype for monitoring and detecting the damage for the real bridge using wireless sensor nodes. The study identifies the damage using a continuous indirect monitoring approach under numerous cases.…”
Section: Fault Detection With Vibration Datamentioning
confidence: 99%
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