<?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%">Mahdaoui Rafik</style></author><author><style face="normal" font="default" size="100%">Mouss Med Djamel</style></author><author><style face="normal" font="default" size="100%">Chouhal Ouahiba</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Temporal Neuro-Fuzzy systems in fault diagnosis and prognosis, February ISSN/ISBN 1974-9821/1974-983X</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%">http://www.msc-les.org/proceedings/emss/2011/EMSS2011_11.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">vol.4</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;span style=&quot;left:89.7934px;top:450.048px;16.7px;serif;transform:scaleX(0.981376);&quot;&gt;Fault diagnosis and failure prognosis are essential &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:469.253px;16.7px;serif;transform:scaleX(1.03423);&quot;&gt;techniques in improving the safety of many &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:488.458px;16.7px;serif;transform:scaleX(0.978553);&quot;&gt;manufacturing systems. Th&lt;/span&gt;&lt;span style=&quot;left:300.097px;top:488.458px;16.7px;serif;transform:scaleX(1.03133);&quot;&gt;erefore, on-line fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:507.562px;16.7px;serif;transform:scaleX(1.00053);&quot;&gt;detection and isolation is one of the most important &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:526.767px;16.7px;serif;transform:scaleX(0.998767);&quot;&gt;tasks in safety-critical and intelligent control systems. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:545.972px;16.7px;serif;transform:scaleX(0.995258);&quot;&gt;Computational intelligence techniques are &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:565.077px;16.7px;serif;transform:scaleX(0.968437);&quot;&gt;being investigated as extension of the traditional fault &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:584.282px;16.7px;serif;transform:scaleX(0.961307);&quot;&gt;diagnosis methods. This paper discusses the properties &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:603.487px;16.7px;serif;transform:scaleX(1.01538);&quot;&gt;of the TSK/Mamdani approaches and neuro-fuzzy (NF) &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:622.592px;16.7px;serif;transform:scaleX(0.991059);&quot;&gt;fault diagnosis within an application study of an &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:641.797px;16.7px;serif;transform:scaleX(1.01295);&quot;&gt;manufacturing systems. The key issues of finding a &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:661.002px;16.7px;serif;transform:scaleX(1.0054);&quot;&gt;suitable structure for detecting and isolating ten realistic &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:680.107px;16.7px;serif;transform:scaleX(0.997344);&quot;&gt;actuator faults are described. &lt;/span&gt;&lt;span style=&quot;left:148.795px;top:699.312px;16.7px;serif;transform:scaleX(1.01173);&quot;&gt;Within this framework, data-processing &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:718.417px;16.7px;serif;transform:scaleX(0.978035);&quot;&gt;interactive software of simulation baptized NEFDIAG &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:737.622px;16.7px;serif;transform:scaleX(0.989998);&quot;&gt;(NEuro Fuzzy DIAGnosis) version 1.0 is developed. &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:756.827px;16.7px;serif;transform:scaleX(1.00468);&quot;&gt;This software devoted primarily to creation, training &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:775.931px;16.7px;serif;transform:scaleX(1.04044);&quot;&gt;and test of a classification Neuro-Fuzzy system of &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:795.136px;16.7px;serif;transform:scaleX(0.991024);&quot;&gt;industrial process failures. NEFDIAG can be &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:814.341px;16.7px;serif;transform:scaleX(1.0064);&quot;&gt;represented like a special type&lt;/span&gt;&lt;span style=&quot;left:292.298px;top:814.341px;16.7px;serif;transform:scaleX(1.0096);&quot;&gt; of fuzzy perceptron, with &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:833.446px;16.7px;serif;transform:scaleX(0.957329);&quot;&gt;three layers used to classify patterns and failures. The &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:852.651px;16.7px;serif;transform:scaleX(0.961711);&quot;&gt;system selected is the workshop of SCIMAT clinker , &lt;/span&gt;&lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt;cement factory of Ain Touta &quot; Batna, Algeria&lt;/span&gt; &lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt;&quot;. &lt;/span&gt; &lt;span style=&quot;left:89.7934px;top:871.856px;16.7px;serif;transform:scaleX(1.00169);&quot;&gt; &lt;/span&gt;</style></abstract><issue><style face="normal" font="default" size="100%"> N°1</style></issue></record></records></xml>