| 灰色预测参数模型新模式及其在电气绝缘故障预测中的应用 |
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| 引用本文： | 孙才新,毕为民,周 湶,廖瑞金,陈伟根.灰色预测参数模型新模式及其在电气绝缘故障预测中的应用[J].控制理论与应用,2003,20(5):797-801. |
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| 作者姓名： | 孙才新 毕为民 周 湶 廖瑞金 陈伟根 |
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| 作者单位： | 重庆大学,高电压与电工新技术教育部重点实验室,重庆,400044 |
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| 摘 要： | 以灰色系统理论为基础, 研究电气绝缘故障诊断的灰色预测模型新模式及其应用. 建立了适用于电气设备绝缘故障诊断的一次拟合参数灰色预测的新模型, 并给出了新模式的建模过程, 提出将原始数据经弱化算子作用后进行一次指数平滑运算并对背景值进行改造的方法, 并以实例进行了检验, 结果表明该方法的可行性和有效性.
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| 关 键 词： | 灰色预测 模型 故障 预测 |
| 文章编号： | 1000-8152(2003)05-0797-04 |
| 收稿时间： | 2002/4/15 0:00:00 |
| 修稿时间： | 2002年4月15日 |
New gray prediction parameter model and its application in electrical insulation fault prediction |
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| SUN Cai-xin,BI Wei-min,ZHOU Quan,LIAO Rui-jin and CHEN Wei-gen.New gray prediction parameter model and its application in electrical insulation fault prediction[J].Control Theory & Applications,2003,20(5):797-801. |
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| Authors: | SUN Cai-xin BI Wei-min ZHOU Quan LIAO Rui-jin and CHEN Wei-gen |
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| Affiliation: | The Key Laboratory of High Voltage Engineering and Electrical New Technology,Chongqing University, Ministry of Education, Chongqing 400044, China;The Key Laboratory of High Voltage Engineering and Electrical New Technology,Chongqing University, Ministry of Education, Chongqing 400044, China;The Key Laboratory of High Voltage Engineering and Electrical New Technology,Chongqing University, Ministry of Education, Chongqing 400044, China;The Key Laboratory of High Voltage Engineering and Electrical New Technology,Chongqing University, Ministry of Education, Chongqing 400044, China;The Key Laboratory of High Voltage Engineering and Electrical New Technology,Chongqing University, Ministry of Education, Chongqing 400044, China |
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| Abstract: | Based upon the gray system theory, the new mode of gray forecasting model for electrical insulation fault diagnosis and its application were studied. Firstly the new mode of gray forecasting with first-order fitting parameter suited for electrical insulation fault diagnosis was established. And then the modeling process for the new mode was presented. Finally the method was presented which was processing original data by means of the effect of weakening operator and the first-order exponent flatness operation, and then re-constructing background value, and according to the field example examination, the result shows that such method is feasibility and validity. |
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| Keywords: | gray prediction model fault prediction |
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