Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Ryndin, E. A.; Коноплев, Б. Г.; Kulikova, Irina V.

doi:10.3390/electronics7080131

Cited by 4 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, acquiring data from the embedded sensors in dikes still serves as a main method of dike monitoring, and the monitoring system controlled by a computer still comprises the main technology in dike monitoring. Major modes of signal measurement in data acquisition include the serial ( [17], [18]), parallel ( [19], [20]) and distributed ( [21], [22]), etc. The serial mode has found more applications such as in river dikes ( [23], [24]), sea dikes ( [25], [26]) and road dikes ( [27], [28]).…”

Section: Introductionmentioning

confidence: 99%

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Shen

Wang³

2020

IEEE Access

View full text Add to dashboard Cite

In the traditional system of dike monitoring, the acquisition apparatus is usually adopted with lots of built-in multiple data acquisition units. Each sensor is connected to the acquisition unit by wire, leading to the intensive use of wires. As a result, it is easy to cause inter-wire interference and signal distortion, compromising the accuracy and efficiency of dike monitoring. We have described and demonstrated a novel mode of signal acquisition that involved the integrated use of digital communication and human-computer interaction, and developed a separable online system of dike monitoring. Specifically, a parallel mode was adopted between the acquisition apparatus and the acquisition units; a serial mode was adopted between the acquisition unit and sensors; and a human-computer interface was used to control the monitoring process. Our research findings have shown that the parallel-serial mode not only proves to have a higher level of precision and efficiency than the serial mode, but also a simpler structure than the parallel mode alone under the same conditions. The acquisition unit adopting the parallel-serial mode could be separated from the acquisition apparatus and set up at nearby monitoring sites. This mode helps avoid such problems as massive amount of wiring as well as severe attenuation and interference of sensor signals in the serial mode, and is thus suitable for the linear dike monitoring. The parallel-serial mode has been successfully applied to the dike monitoring of the Yangtze River, and can also be used for scattered, linear, regional, and wide-range monitoring of engineering projects.

show abstract

Section: Introductionmentioning

confidence: 99%

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Shen

Wang³

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…There are different non-invasive techniques that are able to record data in two or three dimensions from the inside of a body. Typically, they are named tomographies and they are used in a broad range of fields such as medicine, monitoring of industrial processes, and diagnosis of internal structures (e.g., the detection of cracks in highly loaded constructions [1]). The most well-known tomography technique is probably the Computed Tomography (CT) scan, which is produced passing X-rays through a body and recording them on the other side of the target, getting information about the density of electrons in any internal volume.…”

Section: Introductionmentioning

confidence: 99%

Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach

et al. 2018

View full text Add to dashboard Cite

Different industrial and medical situations require the non-invasive extraction of information from the inside of bodies. This is usually done through tomographic methods that generate images based on internal body properties. However, the image reconstruction involves a mathematical inverse problem, for which accurate resolution demands large computation time and capacity. In this paper we explore the use of Machine Learning to develop an accurate solver for reconstructing Electrical Impedance Tomography images in real-time. We compare the results with the Iterative Gauss-Newton and the Primal Dual Interior Point Method, which are both largely used and well-validated solvers. The approaches were compared from the qualitative as well as the quantitative viewpoints. The former was focused on correctly detecting the internal body features. The latter was based on accurately predicting internal property distributions. Experiments revealed that our approach achieved better accuracy and Cohen's kappa coefficient (97.57% and 94.60% respectively) from the qualitative viewpoint. Moreover, it also obtained better quantitative metrics with a Mean Absolute Percentage Error of 18.28%. Experiments confirmed that Neural Networks algorithms can reconstruct internal body properties with high accuracy, so they would be able to replace more complex and slower alternatives.

show abstract

Development of a Low-Cost and Compact Medical Image Reconstruction Platform Based on EIT Technique

Tran Nhu,

Phan Hoang,

Vu Quoc

et al. 2024

IETE Journal of Research

View full text Add to dashboard Cite

Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Cited by 4 publications

References 20 publications

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Separable Online System of Dike Monitoring Based on a Parallel-Serial Mode of Signal Measurement

Towards a Fast and Accurate EIT Inverse Problem Solver: A Machine Learning Approach

Development of a Low-Cost and Compact Medical Image Reconstruction Platform Based on EIT Technique

Contact Info

Product

Resources

About