<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ledeczi, Akos</style></author><author><style face="normal" font="default" size="100%">Thomas Hay</style></author><author><style face="normal" font="default" size="100%">Volgyesi, Peter</style></author><author><style face="normal" font="default" size="100%">Robert Hay</style></author><author><style face="normal" font="default" size="100%">Nadas, Andras</style></author><author><style face="normal" font="default" size="100%">Subash Jayaraman</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Wireless Acoustic Emission Sensor Network for Structural Monitoring</style></title><secondary-title><style face="normal" font="default" size="100%">IEEE Sensors Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2009</style></year></dates><abstract><style face="normal" font="default" size="100%">The paper presents a prototype wireless system for the detection of active fatigue cracks in aging railways bridges in real-time.  The system is based on a small low-cost sensor node, called an AEPod, that has four acoustic emission (AE) channels and a strain channel for sensing, as well as the capability to communicate in a wireless fashion with other nodes and a base station.  AEPods are placed at fracture-critical bridge locations. The strain sensor detects oncoming traffic and triggers the AEPod out of its hibernation mode.  As the train stresses the fracture-critical member, acoustic emission and strain data are acquired.  The data are compressed and filtered at the AEPod and transmitted off the bridge using cell-phone communication.</style></abstract></record></records></xml>