| 基于D-S证据推理的水轮机调速器故障诊断 |
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| 引用本文： | 王鸳君,魏云冰,王万良. 基于D-S证据推理的水轮机调速器故障诊断[J]. 计算机与数字工程, 2006, 34(8): 87-90 |
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| 作者姓名： | 王鸳君 魏云冰 王万良 |
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| 作者单位： | 浙江工业大学信息工程学院,杭州,310014 |
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| 摘 要： | 为了更好地进行水轮机调速器的故障诊断，利用D—S证据推理对不同的神经网络技术得出的结果进行数据融合。仿真结果证实，利用D—S证据推理所得出的结论比单纯利用神经网络得出的结果要理想，它减小了误诊率，提高了水轮机故障诊断的准确率。
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| 关 键 词： | 水轮机调速器 故障诊断 神经网络 D-S证据推理 |
| 修稿时间： | 2005-09-29 |
Fault Diagnosis in Hydraulic Turbines Based on D-S Evidential Reasoning |
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| Wang Yuanjun,Wei Yunbing,Wang Wanliang. Fault Diagnosis in Hydraulic Turbines Based on D-S Evidential Reasoning[J]. Computer and Digital Engineering, 2006, 34(8): 87-90 |
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| Authors: | Wang Yuanjun Wei Yunbing Wang Wanliang |
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| Abstract: | In order to better estimate the fault diagnosis of the hydraulic turbine governing system,the D-S evidential reasoning is used for data fusion with the result of different neural networks.By simulation,it can be clearly found that the result of the data fusion is much better than that of the neural networks.It decreases the fault ratio,and increases veracity of the fault diagnosis of hydraulic turbines. |
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| Keywords: | hydraulic turbine governing system fault diagnosis artificial neural D-S evidential reasoning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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