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NCUEIR > College of Engineering > Department and Graduate Institute of Electronic Engineering > Proceedings > Item 987654321/11084

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11084

Title:	機率類神經網路之梭織機故障診斷 Probabilistic Neural Network for Loom System Fault Diagnosis
Authors:	魏忠必;吳炫澍;洗鴻瑋
Contributors:	電機工程系
Keywords:	Neural network;Probabilistic neural network;Fault diagnosis;Condenser;Fossil-fuel power plant 類神經網絡;機率神經網路;故障診斷;冷凝器
Date:	2007-09
Issue Date:	2012-06-05T03:56:12Z
Publisher:	中華民國電力電子協會
Abstract:	This paper presents a Probabilistic Neural Network (PNN) for loom system fault diagnosis. Using the known data to train the probabilistic neural network. Then, input the samples of loom system to diagnose the fault type. In this paper, we display some common fault samples according to related datas. In order to prove the accuracy of the PNN for fault diagnosis of loom system, we use MATLAB to develop PNN program. The simulation can prove the proposed method is effective and accurate.
Relation:	第六屆台灣電力電子研討會, 國立彰化師範大學, 2007年9月7日: 271-274
Appears in Collections:	[Department and Graduate Institute of Electronic Engineering] Proceedings

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