<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mahadevan, Nagabhushan</style></author><author><style face="normal" font="default" size="100%">Abdelwahed, Sherif</style></author><author><style face="normal" font="default" size="100%">Dubey, Abhishek</style></author><author><style face="normal" font="default" size="100%">Karsai, Gabor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Distributed diagnosis of complex systems using timed failure propagation graph models</style></title><secondary-title><style face="normal" font="default" size="100%">AUTOTESTCON, 2010 IEEE</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">complex system</style></keyword><keyword><style  face="normal" font="default" size="100%">directed graphs</style></keyword><keyword><style  face="normal" font="default" size="100%">distributed diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">fault diagnosis</style></keyword><keyword><style  face="normal" font="default" size="100%">high level diagnoser</style></keyword><keyword><style  face="normal" font="default" size="100%">large-scale systems</style></keyword><keyword><style  face="normal" font="default" size="100%">temporal progression</style></keyword><keyword><style  face="normal" font="default" size="100%">TFPG model</style></keyword><keyword><style  face="normal" font="default" size="100%">timed failure propagation graph model</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year></dates><pages><style face="normal" font="default" size="100%">1 -6</style></pages><abstract><style face="normal" font="default" size="100%">Timed failure propagation graph (TFPG) is a directed graph model that represents temporal progression of failure effects in physical systems. In this paper, a distributed diagnosis approach for complex systems is introduced based on the TFPG model settings. In this approach, the system is partitioned into a set of local subsystems each represented by a subgraph of the global system TFPG model. Information flow between subsystems is achieved through special input and output nodes. A high level diagnoser integrates the diagnosis results of the local subsystems using an abstract high level model to obtain a globally consistent diagnosis of the system.</style></abstract></record></records></xml>