Sensor Network Optimization for a Passive Sensing Impact Detection Technique

2009 ◽  
Vol 9 (1) ◽  
pp. 25-39 ◽  
Author(s):  
Johannes F. C. Markmiller ◽  
Fu-Kuo Chang
Keyword(s):  
Sensor Network ◽  
Network Optimization ◽  
Detection Technique ◽  
Impact Detection ◽  
Passive Sensing

Brown Planthopper Sensor Network Optimization Based on Climate and Geographical Factors using Cellular Automata Technique

2021 ◽  
Author(s):  
Hiep Xuan Huynh ◽  
Nga My Lam Phan ◽  
Huong Hoang Luong ◽  
Linh My Thi Ong ◽  
Hai Thanh Nguyen ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Sensor Network ◽  
Network Optimization ◽  
Brown Planthopper ◽  
Geographical Factors

Statistical Analysis of SHM Passive Sensing Systems

2015 ◽  
Vol 665 ◽  
pp. 241-244
Author(s):  
Marco Thiene ◽  
Zahra Sharif Khodaei ◽  
M.H. Aliabadi
Keyword(s):  
Statistical Analysis ◽  
Health Monitoring ◽  
Sensor Failure ◽  
Impact Detection ◽  
Sensing Systems ◽  
Detection And Identification ◽  
Passive Sensing ◽  
Service Load ◽  
Reliability And Robustness ◽  
Load Conditions

Structural Health Monitoring (SHM) techniques have gained an increased interest to be utilised alongside NDI techniques for aircraft maintenance. However, to take the SHM methodologies from the laboratory conditions to actual structures under real load conditions requires them to be assessed in terms of reliability and robustness. In this work, a statistical analysis is carried out for a passive SHM system capable of impact detection and identification. The sensitivity of the platform to parameters such as noise, sensor failure and in-service load conditions has been investigated and reported.

BPH Sensor Network Optimization Based on Cellular Automata and Honeycomb Structure

2020 ◽  
Vol 25 (3) ◽  
pp. 1140-1150 ◽  
Author(s):  
Hiep Xuan Huynh ◽  
Huy Quang Dang ◽  
Huong Hoang Luong ◽  
Linh My Thi Ong ◽  
Nghia Duong-Trung ◽  
...  
Keyword(s):  
Cellular Automata ◽  
Sensor Network ◽  
Network Optimization ◽  
Honeycomb Structure

Impact Detection Using an Array of Piezoelectric Wafer Active Sensors and a Microcontroller Unit

2010 ◽  
Author(s):  
Abraham Light-Marquez ◽  
Andrei Zagrai
Keyword(s):  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Detection System ◽  
Active Sensors ◽  
Structural Health ◽  
Impact Detection ◽  
Piezoelectric Wafer Active Sensors ◽  
Piezoelectric Wafer ◽  
The Impact

This report discusses the development of an embeddable impact detection system utilizing an array of piezoelectric wafer active sensors (PWAS) and a microcontroller. Embeddable systems are a critical component to successfully implement a complete and robust structural health monitoring system. System capabilities include impact detection, impact location determination and digitization of the impact waveform. A custom algorithm was developed to locate the site of the impact.. The embedded system has the potential for additional capabilities including advanced signal processing and the integration of wireless functionality. For structural health monitoring applications it is essential to determine the extent of damage done to the structure. In an attempt to determine these parameters a series of impact tests were conducted using a ball drop tower on a square aluminum plate. The response of the plate to the impact event was recorded using a piezoelectric wafer sensor network attached to the surface of the plate. From this testing it was determined that several of the impact parameters are directly correlated with the features recorded by the sensor network.

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