| 基于证据推理的电站锅炉空预器热点检测 |
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| 引用本文： | 梁炎明,刘丁,李琦,刘涵,宋念龙.基于证据推理的电站锅炉空预器热点检测[J].传感技术学报,2009,22(12). |
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| 作者姓名： | 梁炎明 刘丁 李琦 刘涵 宋念龙 |
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| 作者单位： | 西安理工大学自动化与信息工程学院,西安,710048 |
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| 摘 要： | 准确检测空气预热器(以下简称空预器)热点对火力发电机组的安全运行具有重要意义.综合利用热电偶和红外传感器的温度信息,通过Dempster-Shafer(DS)证据理论对这两类温度信息进行融合推理,决策当前空预器内部的火情状态.为准确计算各证据体的基本概率,首先利用最小二乘支持向量机(LS-SVM)和Sigmoid函数建立多元分类器,实现对温度测点较精确的类别判断,然后根据类别票数情况计算各证据体的基本概率.实验结果表明:由最小二乘支持向量机(LS-SVM)和Sigmoid函数建立的多元分类器具有较高的分类准确率,所提出的空预器热点检测方法具有较高的判警准确率.
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| 关 键 词： | 空预器 热点检测 证据理论 最小二乘支持向量机 Sigmoid函数 |
An Evidential Reasoning Approach to Power Plant Boiler Air Preheater Hot Spots Detection |
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| LIANG Yanming,LIU Ding,LI Qi,LIU Han,SONG Nianlong.An Evidential Reasoning Approach to Power Plant Boiler Air Preheater Hot Spots Detection[J].Journal of Transduction Technology,2009,22(12). |
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| Authors: | LIANG Yanming LIU Ding LI Qi LIU Han SONG Nianlong |
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| Affiliation: | LIANG Yanming,LIU Ding,LI Qi,LIU Han,SONG Nianlong School of Automation & Information Engineering,Xi'an University of Technology,Xi'an 710048,China |
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| Abstract: | It is important to accurately detect air preheater spots for power plant units.The temperature information of thermocouples and infrared sensors has been comprehensively utilized in this paper.Dempster-Shafer(DS) vidential theory has been applied to determine present fire status of air preheater by fusing the two kinds of temperature information.To accurately acquire the basic probability of all evidences two steps as follows are necessary.The multivariate classifier has been built based on LS-SVM and Sigmo... |
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| Keywords: | air preheater spots detection evidential theory LS-SVM sigmoid function |
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