Performance evaluation of experimental damage detection in structure health monitoring using acceleration

Elsersy, Mohamed; Abualsaud, Khalid; Elfouly, Tarek; Mahgoub, Mohamed; Ahmed, Mohamed H.; Ibrahim, Marwa

doi:10.1109/iwcmc.2016.7577113

Cited by 7 publications

(7 citation statements)

References 17 publications

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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 Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era

et al. 2019

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Section: ) Structure Health Monitoring (Shm)mentioning

confidence: 99%

A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era

et al. 2019

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“…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%

“…2) i rms x _ --The RMS of the data to be detected. 3) i psd x _ --The PSDmax of the data to be detected.…”

Section: The Spider Algorithm Of Fault Detectionmentioning

confidence: 99%

“…Reference [1] presents preliminary results towards an automated monitoring system for the quality assessment of insulated rail joints based on axle box acceleration (ABA) measurements, and reference [2] presents a prototype for monitoring and detecting the damage for the real bridge using those sensor nodes. However, the related fault detection techniques [3,4] have low accuracy, the vibration data are not analyzed in depth, and they haven't designed an effective system architecture.…”

Section: Introductionmentioning

confidence: 99%

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The Design and Implementation of a Vibration Fault Detection Cyber-Physical System

Su¹,

Zhu²,

Xiao³

2017

dtcse

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Abstract. In this paper, the design and implementation of a vibration fault detection cyber-physical system (VFDCPS) is presented. Vibration fault detection is increasingly used in track vibration, bridge vibration and other related fields. However, current research reveals some problems such as low accuracy of fault detection, few effective in-depth calculation of vibration data and fault test methods. Cyber-Physical systems (CPSs) are integrations of computation, networking, and physical processes. From the CPSs point of view, VFDCPS consists of three layers: the monitoring and control layer (MCL), the network layer and the device layer. The MCL deals with real-time monitoring and the precise control of the system. In the network layer, the CANopen network of field device can communicate with the Ethernet of VFDCPS for system's expandability and reliability. The device layer copes with collected data by using fast Fourier transform (FFT), lowpass filter, etc., which greatly improves the system's accuracy and the ability of massive computing. This paper also proposes a fault detection algorithm with vibration data called Spider which quantifies the criteria of fault evaluation. It is shown by test data that our approaches and improvements in design make VFDCPS more accurate and reliable in real-time vibration fault detection.

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