<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bensaadi Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Mouss Leila Hayet</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Fuzzy Pattern Recognotion Based Fault Diagonis. , December, ISSN: 1974-9821, ISSN/ISBN 1945-3116/1974-983X</style></title><secondary-title><style face="normal" font="default" size="100%">IREMOS International Review on Modelling and Simulations. </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://hal.archives-ouvertes.fr/hal-00706004/document</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">Vol.4 </style></volume><pages><style face="normal" font="default" size="100%"> pp 3361-3370 </style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:242.233px;top:231.643px;16.6px;sans-serif;transform:scaleX(0.904944);&quot;&gt;In order to avoid catastrophic situations when the dynamics of a physical system &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.883251);&quot;&gt;(entity in Multi Agent System architectu&lt;/span&gt;&lt;span style=&quot;left:439.683px;top:251.643px;16.6px;sans-serif;transform:scaleX(0.880053);&quot;&gt;re) are evolving toward an undesirable operating mode, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:271.843px;16.6px;sans-serif;transform:scaleX(0.941287);&quot;&gt;particular and quick safety actions have to be programmed in the control design. Classic control &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:292.043px;16.6px;sans-serif;transform:scaleX(0.882595);&quot;&gt;(PID and even state model based methods) becomes powerless for complex plants (nonlinear, &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.985789);&quot;&gt;MIMO and ill&lt;/span&gt;&lt;span style=&quot;left:266.43333333333334px;top:312.0427333333333px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:272.0333333333333px;top:312.0427333333333px;16.6px;sans-serif;&quot;&gt;d&lt;/span&gt;&lt;span style=&quot;left:280.433px;top:312.043px;16.6px;sans-serif;transform:scaleX(0.920096);&quot;&gt;efined systems). A more efficient diagnosis requires an artificial intelligence &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:332.243px;16.6px;sans-serif;transform:scaleX(0.907113);&quot;&gt;approach. We propose in this paper the design of a Fuzzy Pattern Recognition System (FPRS) that &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95125);&quot;&gt;solves, in real time, the main following problems: 1) Identification of an actua&lt;/span&gt;&lt;span style=&quot;left:752.767px;top:352.243px;16.6px;sans-serif;transform:scaleX(0.95013);&quot;&gt;l state; 2) &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.941186);&quot;&gt;Identification of an eventual evolution towards a failure state; 3) Diagnosis and decision&lt;/span&gt;&lt;span style=&quot;left:768.1666666666665px;top:372.44273333333314px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:773.767px;top:372.443px;16.6px;sans-serif;transform:scaleX(0.910288);&quot;&gt;making. &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:392.643px;16.6px;sans-serif;transform:scaleX(0.868728);&quot;&gt;Simulations have been carried for a fictive complex process plant with the objective to evaluate &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.856891);&quot;&gt;the consistency and the performance of the propo&lt;/span&gt;&lt;span style=&quot;left:506.883px;top:412.643px;16.6px;sans-serif;transform:scaleX(0.870663);&quot;&gt;sed diagnosis philosophy. The obtained results &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:432.893px;16.6px;sans-serif;transform:scaleX(0.909098);&quot;&gt;seem to be encouraging and very promising for application to fault diagnosis of a real and &lt;/span&gt;&lt;span style=&quot;left:165.44px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.901397);&quot;&gt;complex plant process. &lt;/span&gt;&lt;span style=&quot;left:322.883px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.949709);&quot;&gt;Copyright © 2011 Praise Worthy Prize S.r.l. &lt;/span&gt;&lt;span style=&quot;left:628.7166666666667px;top:452.8927333333333px;16.6px;sans-serif;&quot;&gt;-&lt;/span&gt;&lt;span style=&quot;left:638.517px;top:452.893px;16.6px;sans-serif;transform:scaleX(0.944805);&quot;&gt;All rights reserved.&lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%">N°6</style></issue></record></records></xml>