| 冷凝器污垢的灰色预测 |
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| 引用本文： | 樊绍胜. 冷凝器污垢的灰色预测[J]. 电工标准与质量, 2007, 0(2) |
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| 作者姓名： | 樊绍胜 |
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| 作者单位： | 长沙理工大学电气与信息工程学院 湖南长沙410076 |
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| 基金项目： | 湖南省自然科学基金资助项目(06JJ2011) |
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| 摘 要： | 提出一种基于灰色理论的冷凝器污垢预测方法.将污垢分解为软垢和硬垢两部分,并采用灰色模型分别描述其变化趋势,进而通过二者的结合获得较为精确的污垢预测.试验结果表明:该方法能够有效地预测冷凝器的周期性结垢现象,并能适应冷凝器工况参数的动态变化,取得比常规渐近模型更好的预测精度.
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| 关 键 词： | 冷凝器 污垢预测 周期性结垢 灰色模型 |
Gray theory based prediction for condenser fouling |
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| FAN Shao-sheng. Gray theory based prediction for condenser fouling[J]. Journal of Changsha University of Electric Power(Natural Science Edition), 2007, 0(2) |
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| Authors: | FAN Shao-sheng |
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| Abstract: | A novel gray theory based prediction method for condenser fouling is proposed in this paper.The overall fouling is separated into two parts: hard fouling and soft fouling.Their variation trends are approximated by two gray models respectively.And a more accurate prediction is developed by synthesizing the two gray models outputs.Condenser testing results show that the method can predict the periodic fouling effectively,and it can be applied in the conditions with condenser parameters dynamically varying.It can achieve more accurate fouling prediction than traditional asymptotic fouling model. |
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| Keywords: | condenser fouling prediction periodic fouling gray model |
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