| 引用本文: | 张小松, 陈文楷.电厂水汽循环系统模糊神经网络故障诊断[J].控制理论与应用,2003,20(1):117~120.[点击复制] |
| ZHANG Xiao-song, CHEN Wen-kai.Diagnostic method of power plant water vapor cycle system based on fuzzy neural networks[J].Control Theory & Applications,2003,20(1):117~120.[点击复制] |
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| 电厂水汽循环系统模糊神经网络故障诊断 |
| Diagnostic method of power plant water vapor cycle system based on fuzzy neural networks |
| 摘要点击 2128 全文点击 1293 投稿时间：2000-07-20 修订日期：2002-04-03 |
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| DOI编号 |
| 2003,20(1):117-120 |
| 中文关键词 故障诊断 模糊神经网络 水汽循环系统 |
| 英文关键词 fault diagnosis fuzzy neural networks the water vapor cycle system |
| 基金项目 |
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| 中文摘要 |
| 电厂水汽循环系统是一个由多环节组成的复杂的大型工业生产过程,由于它的参数存在较大的不确定性和模糊性,使得对它的生产过程进行故障诊断十分困难.通过分析这个系统特点,提出了一种智能诊断方法———模糊神经网络对它进行故障诊断,从而解决了参数存在模糊性和不确定性的难题,提高了诊断的可靠性. |
| 英文摘要 |
| In the power plant, it is difficult to diagnose the water-vapor cycle system because of the indeterminacy and fuzziness of the parameters. Based on the analysis of the characteristics of the system, an intelligent diagnostic method is developed-using the artificial fuzzy neural networks. The experement shows that the method can solve the problem of the indeterminacy and fuzziness of the parameters, and improve the reliability of diagnosis. |
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