| 新型RBF网络在汽轮机通流部分故障诊断中的应用 |
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| 引用本文： | 王伟锋,白天. 新型RBF网络在汽轮机通流部分故障诊断中的应用[J]. 热力发电, 2011, 40(10). DOI: 10.3969/j.issn.1002-3364.2011.10.029 |
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| 作者姓名： | 王伟锋 白天 |
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| 作者单位： | 1. 西安热工研究院有限公司,陕西西安,710032
2. 华北水利水电学院动力系,河南郑州,450011 |
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| 摘 要： | 应用免疫遗传系统的调节原理及递推最小二乘法建立了一种新型RBF网络模型,通过计算特征参数信息熵,可快速、准确地确定故障诊断的知识库。将该模型与知识库应用于汽轮机通流部分的故障诊断表明,该模型收敛速度快、精度高并有较好的泛化能力。采用该方法对某电厂1台300MW机组进行了实际诊断,判定为高压缸结垢和高压缸调节阀通道结垢,其结果完全满足汽轮机通流部分故障诊断的需要。
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| 关 键 词： | RBF神经网络 汽轮机 通流 特征参数 故障诊断 |
APPLICATION OF NEW TYPE RBF NETWORK IN FAULT DIAGNOSIS OF FLOW PASSAGE IN STEAM TURBINES |
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| WANG Weifeng,BAI Tian. APPLICATION OF NEW TYPE RBF NETWORK IN FAULT DIAGNOSIS OF FLOW PASSAGE IN STEAM TURBINES[J]. Thermal Power Generation, 2011, 40(10). DOI: 10.3969/j.issn.1002-3364.2011.10.029 |
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| Authors: | WANG Weifeng BAI Tian |
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| Affiliation: | WANG Weifeng1,BAI Tian2 1.Xi'an Thermal Power Research Institute Co Ltd,Xi'an 710032,Shaanxi Province,PRC 2.North China Water Resourses and Hydropower College,Zhengzhou 450011,Henan Province,PRC |
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| Abstract: | By using the regulating principle of immune genetic system and the recursive least square method,a new type RBF network model has been established.Through information entropy of the calculation characteristic parameters,a knowledge base for determining fault diagnosis has been rapidly and accurately determined.In application of said model and knowledge base in fault diagnosis of flow passage in steam turbines,the model has quick convergent speed and high precision,as well as better generalization ability.Th... |
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| Keywords: | RBF neural network flow passage in steam turbine characteristic parameter fault diagnosis |
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