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汽轮机组监测诊断系统中虚拟传感器的数学模型
引用本文:陈波,胡念苏,周宇阳,申弢,赵瑜.汽轮机组监测诊断系统中虚拟传感器的数学模型[J].中国电机工程学报,2004,24(7):253-256.
作者姓名:陈波  胡念苏  周宇阳  申弢  赵瑜
作者单位:1. 武汉大学动力与机械工程学院,湖北,武汉,430072
2. 新华控制工程有限公司,上海,200245
摘    要:采用硬件的冗余配置是提高可靠性的传统方法,虚拟传感器可实现对汽轮发电机组监测诊断系统中参数测点的软件冗余。该文对利用基神经网络建立虚拟传感器数学模型的几个问题进行了讨论,其中包括基神经网络的选择,采用遗传算法对输入参数的组合进行优选。通过归一化、加入白噪声等方法优选出训练样本,以及对虚拟传感器扩展性和可移植性等进行研究,为虚拟传感器的工程应用提供可借鉴的数值经验。

关 键 词:汽轮发电机组  监测诊断系统  虚拟传感器  数学模型  神经网络
文章编号:0258-8013(2004)07-0253-04
修稿时间:2003年11月23

THE VIRTUAL SENSOR MATHEMATIC MODEL OF MONITORING AND DIAGNOSIS SYSTEM FOR A STEAM TURBINE UNIT
CHEN Bo,HU Nian-su,ZHOU Yu-yang,SHEN Tao,ZHAO Yu.THE VIRTUAL SENSOR MATHEMATIC MODEL OF MONITORING AND DIAGNOSIS SYSTEM FOR A STEAM TURBINE UNIT[J].Proceedings of the CSEE,2004,24(7):253-256.
Authors:CHEN Bo  HU Nian-su  ZHOU Yu-yang  SHEN Tao  ZHAO Yu
Affiliation:CHEN Bo~1,HU Nian-su~1,ZHOU Yu-yang~2,SHEN Tao~2,ZHAO Yu~2
Abstract:Traditionally, redundant hardware is used to enhance the reliability of steam turbine unit monitoring and diagnosis system. As redundant software, a virtual sensor is possible to be used in an effort to insure reliability In this paper some issues concerning a virtual sensor based on a neural network are discussed. The issues include selection of the type of neural network, the training parameter optimization, selecting training samples by normalization and flat noise, the expansibility and applicability of virtual sensor, as well as others. The discussion results provide some valuable parameters and experiences for engineering applications of virtual sensors.
Keywords:Thermal power engineering  Steam turbine unit  Virtual sensor  Mathematical model  Neural network  Genetic algorithm
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