THE SYNTHESIS OF SENSOR NETWORK GEOMETRY FOR ACOUSTIC HEAT TRASFER LEAK DIAGNOSTICS

2016 ◽  
Vol 23 (99) ◽  
pp. 139-145
Author(s):  
Kh. M. Al-Jasri G. ◽  
Keyword(s):  
Sensor Network ◽  
Network Geometry

A simplified framework for prediction of sensor network coverage in real-time structural health monitoring of plate-like structures

2021 ◽  
pp. 147592172110332
Author(s):  
Mehrdad Ghyabi ◽  
Hamidreza Nemati ◽  
Ehsan Dehghan-Niri
Keyword(s):  
Finite Element ◽  
Sensor Network ◽  
Health Monitoring ◽  
Surface Crack ◽  
Piezoelectric Sensor ◽  
Network Coverage ◽  
Coverage Area ◽  
Fem Simulations ◽  
Network Geometry ◽  
Critical Defect

In this article, the coverage area prediction of piezoelectric sensor network for detecting a specific type of under-surface crack in plate-like structures is addressed. In particular, this article proposes a simplified framework to estimate the coverage of any given sensor network arrangement when a critical defect is known. Based on numerical results from finite element methods (FEM), a simplified framework to estimate coverage area of any given network arrangement is developed. Using such a simplified framework, one can avoid time-consuming procedure of evaluating numerous FEM models in estimating sensor network coverage. Back-scatter fields of partial cracks are estimated using a proposed function, whose parameters are estimated from the results of a limited number of FEM simulations. The proposed function efficiently predicts the back-scattered field of any combination of transmitters and receivers for a given crack geometry. Superposition is used to estimate the coverage area of an arbitrary piezoelectric (e.g., PZT) sensor network. It is shown that the coverage area of a sensor network depends on both sensor network geometry and defect properties (e.g., crack inclination) and it is not necessarily a linear function of the number of sensors. Furthermore, it is shown that the network arrangement has an important effect on the geometry of the coverage area. Experimental results of a network of 14 PZTs in two clusters confirm the accuracy of the method.

A WSN(Wiress Sensor Network) Building Scheme using Clustering and Location information

2020 ◽  
Vol 20 (3) ◽  
pp. 13-20
Author(s):  
Jinsoo Kim ◽  
◽  
Hyukjin Kwon ◽  
Dongkyoo Shin ◽  
Sunghoon Hong
Keyword(s):  
Sensor Network ◽  
Location Information ◽  
Network Building

Monitoring Maximum Duration of Storage of Yellow Banana in Control RH% Using Wireless Sensor Network

2012 ◽  
Vol 2 (8) ◽  
pp. 188-190
Author(s):  
Targol Abrishami ◽  
◽  
Dr. N. M. Kulkarni Dr. N. M. Kulkarni ◽  
Dr. A. D. Shaligram Dr. A. D. Shaligram
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Maximum Duration ◽  
Duration Of Storage
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