| 一种多组并联模糊神经网络用于信息融合诊断 |
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| 引用本文： | 王天宇,董彩凤.一种多组并联模糊神经网络用于信息融合诊断[J].哈尔滨工业大学学报,2004,36(3):324-327,343. |
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| 作者姓名： | 王天宇 董彩凤 |
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| 作者单位： | 1. 哈尔滨工业大学,计算机科学与技术学院,黑龙江,哈尔滨,150001
2. 哈尔滨工业大学,航天学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 哈尔滨工业大学跨学科交叉性基金资助项目(2001.06). |
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| 摘 要： | 研究了诊断对象多方位信息的综合利用，讨论了数据层融合的加权自适应最小平方估计、关联及特征层融合的模糊处理，并提出了一种新型的多组并联的模糊神经网络故障识别方法，在汽轮发电机组故障诊断中，解决了繁多种类的大量数据的快速处理，利用整体协调优势，提高了复杂设备并发故障诊断的精确度，并给出了应用实例。
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| 关 键 词： | 多信息融合 故障诊断 模糊神经网络 汽轮发电机组 数据处理 |
| 文章编号： | 0367-6234(2004)03-0324-04 |
| 修稿时间： | 2003年6月23日 |
Application of multi-information fusion for diagnosis in turbine generator set |
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| WANG Tian-yu,DONG Cai-feng.Application of multi-information fusion for diagnosis in turbine generator set[J].Journal of Harbin Institute of Technology,2004,36(3):324-327,343. |
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| Authors: | WANG Tian-yu DONG Cai-feng |
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| Abstract: | The application of multi-information fusion can improve the precision and reliabilitv of fault diagno-sis in turbine generator set and other rotor machine. The comprehensive utilization of the multi-information fusion diagnosis object is studied. The method of fusion with weighted adaptive and least square and correlation at data Ievel are reseached and fusion of fuzzv set at characteristic Ievel is discussed. A newly faults diagnosis method with multi parallel neural network are presented. In the fault diagnosis of turbine generator set, the problem of fast processing of various kinds of massive data was solved. |
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| Keywords: | multi-information fusion fault diagnosis fuzzy neural network |
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