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Application of Fault Forecast of Turbo-generator Unit Based on Wavelet Neural Network

Author: YangZuoZuo
Tutor: ZuoSiEn
School: Zhejiang University
Course: Thermal Power Engineering
Keywords: Wavelet Neural Network Parameter prediction Failure prediction
CLC: TM621.3
Type: Master's thesis
Year: 2008
Downloads: 283
Quote: 3
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Abstract


In recent years , the research of wavelet neural network theory has made great progress , and its applied research into almost all fields . Wavelet neural network is applied in the turbogenerator failure prediction depth study . The first chapter, the purpose and significance of the research topic , Research turbogenerator state prediction and fault diagnosis technology . Content of the topics to be studied . Chapter II an overview of the theory of the wavelet transform and artificial neural network , the wavelet neural network , a new algorithm for the lack of wavelet neural network . Based on the theoretical content of the vibration spectrum of fault diagnosis method and fuzzy diagnosis method . The third chapter is the focus of this article . Of wavelet neural network to establish process and network-related parameters selected to make a test and predict performance through data networks . While the unit parameters predicted by fuzzy diagnosis method to infer a the unit failure probability in the next period of time . The fourth chapter describes the module design development methods , development tools and development techniques , while the prediction module software functions , structure and its concrete realization process . The fifth chapter is the conclusion of this article and Prospects . Summarizes the work done in this article , and needs further study in the future .

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations > Power generation equipment
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