| 基于灰色理论的电厂设备状态趋势预测研究 |
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| 引用本文： | 郭翔,孙万云,陈晨.基于灰色理论的电厂设备状态趋势预测研究[J].仪器仪表用户,2006,13(5):6-7. |
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| 作者姓名： | 郭翔 孙万云 陈晨 |
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| 作者单位： | 华北电力大学,自动化系,河北,保定,071003 |
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| 摘 要： | 本文提出了基于灰色预测理论的机械设备状态监测方法,重点介绍了灰色预测理论的内容及其应用;其根据设备自身历史数据建立动态微分方程,并预测自身的发展,具有数据量小、计算简单、预测准确的特点.通过实例证明,该方法是有效的.
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| 关 键 词： | 灰色理论 GM(1 1)模型 状态预测 |
| 文章编号： | 1671-1041(2006)05-0006-02 |
| 修稿时间： | 2006年4月29日 |
Research on condition prediction of power plant equipment based on the gray-theory |
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| GUO Xiang,SUN Wan-yun,CHEN Chen.Research on condition prediction of power plant equipment based on the gray-theory[J].Electronic Instrumentation Customer,2006,13(5):6-7. |
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| Authors: | GUO Xiang SUN Wan-yun CHEN Chen |
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| Abstract: | Based on the gray theory,a novel prediction method of condition to detect the performance of mechanical equipment, was proposed in the paper,which mostly introduced definition and applicat ion of the gray theory.According to the own historical data of equipment,a dynamic differential equation is established to predict its own trend and the characters of the gray predictive model GM(1,1) are simple calculation and accurate prediction with smaller amount of data.The method is proved to be effective by example. |
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| Keywords: | gray theory GM(1 1 ) condition prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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