A new damage detection and tracking method using smart sensor network

2016 ◽  
Vol 6 (2) ◽  
pp. 291-301 ◽  
Author(s):  
M. Jalalpour ◽  
M. Azarbayejani ◽  
A. I. El-Osery ◽  
M. M. Reda Taha
Keyword(s):  
Damage Detection ◽  
Sensor Network ◽  
Smart Sensor ◽  
Tracking Method ◽  
Detection And Tracking

Damage Tracking Using Smart Sensor Network

2010 ◽  
Author(s):  
Mohammad Jalalpour ◽  
Mahmoud Reda Taha ◽  
Aly El-Osery
Keyword(s):  
Sensor Network ◽  
Health Monitoring ◽  
Steel Plate ◽  
Smart Sensor ◽  
Damage Diagnosis ◽  
Computational Overhead ◽  
Detection And Tracking ◽  
Damage Tracking ◽  
Over Time

Sensors are frequently used in damage diagnosis for structural health monitoring (SHM) of aerospace structures. This process typically requires a considerably large number of sensors. By increasing the number of sensors, the amount of data collected, though useful, becomes a burden due to the required computational overhead. In this paper, a random correlation cumulative approach is used to track damage intensity and propagation. The relative correlation between any two randomly chosen sensors is recorded and compared over time. The randomness of the process leads to detecting and tracking any arbitrary crack propagation. A case study for damage detection and tracking using 40 sensors in a steel plate is presented and discussed. It is shown that the proposed method can successfully allow damage tracking while limiting the data considered in the sensor network.

Detection and tracking method of cross targetbased on DPM detector and KCF tracker

2018 ◽  
Vol 33 (12) ◽  
pp. 1026-1032
Author(s):  
崔艺涵 CUI Yi-han ◽  
陈 涛 CHEN Tao ◽  
陈宝刚 CHEN Bao-gang
Keyword(s):  
Tracking Method ◽  
Detection And Tracking
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