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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11081

Title: 機率類神經網路之水循環系統故障診斷
Fault Diagnosis of Water Circulation System Using Probabilistic Neural Network Approach
Authors: 魏忠必;周照凱;洗鴻瑋
Contributors: 電機工程系
Keywords: 類神經網路;機率神經網路;水循環系統;故障診斷
Neural network;Probabilistic neural network;Water circulation system;Fault diagnosis
Date: 2007-09
Issue Date: 2012-06-05T03:55:35Z
Publisher: 中華民國電力電子協會
Abstract: This paper presents a Probabilistic Neural Network (PNN) for water circulation system fault diagnosis. Using the known data to train the neural network. Then, input the new samples to diagnose the fault type. In order to prove the accuracy of the PNN for water circulation system fault diagnosis, using 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: 1541-1545
Appears in Collections:[電機工程學系] 會議論文

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