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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11063

Title: 機率神經網路之汽輪發電機故障診斷
Probabilistic Neural Network for Steam Turbine Generator Fault Diagnosis
Authors: 魏忠必;陳家湧
Contributors: 電機工程系
Keywords: 類神經網路;機率神經網路;汽輪發電機;故障診斷
Neural network;Probabilistic neural network;Steam turbine generator;Fault diagnosis
Date: 2006-06
Issue Date: 2012-06-05T03:53:09Z
Publisher: 國立勤益技術學院
Abstract: 本文提出以機率神經網路(Probabilistic neural network, PNN)應用於汽輪發電機組故障診斷(Steam turbine generator fault diagnosis)之研究。利用機率神經網路之特性,用已知的故障數據對類神經網路進行訓練後,即可對汽輪發電機組的故障型態進行診斷。為驗證本文所提之PNN對汽輪發電機故障診斷之準確性,使用MATLAB撰寫PNN程式,並經過訓練後診斷新的樣本資料,分辨出故障型態,證明所提方法之準確性可達到100%。
This paper presents a Probabilistic Neural Network (PNN) for steam turbine generator 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 steam turbine generator fault diagnosis, using MATLAB to develop PNN program. The simulation can prove the proposed method is effective and accurate.
Relation: 第一屆智慧生活科技研討會, 國立勤益技術學院, 2006年6月9日
Appears in Collections:[電機工程學系] 會議論文

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