Smart One-Channel Sensor Node for Ambient Vibration Test with Applications to Structural Health Monitoring of Large Civil Infrastructures

Park, Young-Soo; Kim, Sehoon; Sim, Sung‐Han; Koo, Ki-Young; Lee, Chang Kyu; Lee, Jong-Jae

doi:10.1155/2015/691565

Cited by 3 publications

(3 citation statements)

References 22 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nondestructive evaluation (NDE) has shown potential for detecting hidden damage but the structures' large size presents a significant challenge to implement such inspection methods. Over the past two decades, a significant amount of studies have been conducted in the emerging field of structural health monitoring, aiming at objective and quantitative structural damage detection and integrity assessment based on measurements by sensors, mostly accelerometers [1][2][3][4][5][6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

An Automatic Measurement Method of Test Beam Response Based on Spliced Images

Liang

Liu

Wang

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

Information such as cracks and deflections is the important basis for structural safety. Existing methods have not achieved simultaneous detection. In most existing computer vision measurement systems, the view is fixed due to the fixed position of the camera. Thus, it is difficult to obtain the structures’ overall crack and deflection information. An automatic response measurement method is proposed in this study including ( 1 ) continuous image acquisition and signal transmission system based on self-walking bracket and Internet of Things (IoT), ( 2 ) an image splicing method based on feature matching, and ( 3 ) a crack and deflection measurement method. The self-walking bracket allows the industrial camera to move at a fixed distance to obtain the continuous image of the beam. Next, the spliced image is obtained through the PCA-SIFT method with a screening mechanism. The cracks’ information is acquired by the dual network model. The simplified AKAZE feature detection algorithm and the modified RANSAC are used to track the natural features of the structures. The curve fitting is performed to obtain the deflection curve of the beam under different loads. Experimental results show that the method can directly reflect the crack and deflection information of the beam. The average deviation of width is 11.76%, average deviation of length is 8.18%, and the average deformation deviation is 4.50%, which verifies the practicability of the method and shows great potential to apply it in actual structures.

show abstract

Section: Introductionmentioning

confidence: 99%

An Automatic Measurement Method of Test Beam Response Based on Spliced Images

Liang

Liu

Wang

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Due to such features, numerous researchers have deployed short-term and long-term monitoring systems on structures using commercially available and academic prototype sensors. Summaries and examples of WSS development and full-scale monitoring can be found in [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. Despite these successful deployments, full-scale implementations are still limited.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Assessment of High-Throughput Wireless Sensor Networks

Kim

Mechitov

Sim

et al. 2016

Sensors

Self Cite

View full text Add to dashboard Cite

Structural health monitoring (SHM) using wireless smart sensors (WSS) has the potential to provide rich information on the state of a structure. However, because of their distributed nature, maintaining highly robust and reliable networks can be challenging. Assessing WSS network communication quality before and after finalizing a deployment is critical to achieve a successful WSS network for SHM purposes. Early studies on WSS network reliability mostly used temporal signal indicators, composed of a smaller number of packets, to assess the network reliability. However, because the WSS networks for SHM purpose often require high data throughput, i.e., a larger number of packets are delivered within the communication, such an approach is not sufficient. Instead, in this study, a model that can assess, probabilistically, the long-term performance of the network is proposed. The proposed model is based on readily-available measured data sets that represent communication quality during high-throughput data transfer. Then, an empirical limit-state function is determined, which is further used to estimate the probability of network communication failure. Monte Carlo simulation is adopted in this paper and applied to a small and a full-bridge wireless networks. By performing the proposed analysis in complex sensor networks, an optimized sensor topology can be achieved.

show abstract

“…If there are lots of testing sensors in the monitoring systems, these wires can be cumbersome and time-consuming. Therefore, using wireless sensor network (WSN) in structural health monitoring systems brings about much convenience and many advantages of high efficiency, high precision, low cost, and so on [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Design and Verification of a High-Precision Wireless Strength Testing Node for Aircraft Structure

Cui

Sun

et al. 2016

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Wireless sensor network provides a good solution for the state monitoring of large-scale structures. Compared to traditional approaches, it can greatly reduce the amount of devices wiring and the weight of the monitoring system. However, research of aviation structure monitoring application based wireless sensor networks is still in the initiation of the exploration stage. In particular, the developed wireless strain sensor node of WSN cannot be used in aviation structure because of low precision and other problems. In this paper, a high-precision and multichannel wireless strain sensor node of WSN is designed in detail. The wireless strain sensor node is composed of power module, multichannel strain sensing acquisition module, data-processing module, and wireless communication module. In addition, its special design of encapsulation makes it shockproof and possess anti-interference property. To verify the functionality of the designed wireless sensor node for structural strength testing capability, several evaluation experiments are completed on a test piece of real aircraft. The experimental results show that the developed system has good performance in monitoring structural strain.

show abstract

Smart One-Channel Sensor Node for Ambient Vibration Test with Applications to Structural Health Monitoring of Large Civil Infrastructures

Cited by 3 publications

References 22 publications

An Automatic Measurement Method of Test Beam Response Based on Spliced Images

An Automatic Measurement Method of Test Beam Response Based on Spliced Images

Probabilistic Assessment of High-Throughput Wireless Sensor Networks

Design and Verification of a High-Precision Wireless Strength Testing Node for Aircraft Structure

Contact Info

Product

Resources

About