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1)  soft-sensing model
软测量模型
1.
A soft-sensing model for copper liquid temperature of heat preservation phase in copper refining rotary anode furnace was established based on mechanism of heat transfer.
基于铜精炼炉保温过程热工机理,建立了铜精炼炉保温过程铜液温度软测量模型,在铜液温度软测量的算法设计中采用数据预处理、黄金分割法搜索区间及其函数链神经网络在线校正等技术。
2.
More and more research has been conducted in the field of soft-sensing modeling.
本文应用PLS方法建立了催化重整装置氧含量的软测量模型,结果表明该模型具有很高的精度。
2)  soft sensor model
软测量模型
1.
When introducing the hierarchical fuzzy system in soft sensor modeling,the rational structure of the fuzzy system is very important to the performance of the soft sensor model.
为选择合理的系统结构,采用多目标遗传算法(MOGA)选择子系统的输入变量,并结合T-S模糊系统的特点,采用二分法划分子系统的输入空间,建立了基于递阶T-S模糊系统(HTFS)的软测量模型
2.
Support vector machine(SVM)which has high generalization is adopted to establish soft sensor models.
软测量技术的核心问题是建立优良的软测量数学模型,支持向量机(SVM)以其优良的泛化特性而被应用到建立软测量模型中。
3.
A new modeling method is proposed to establish the soft sensor model by the analysis of several fuzzy modeling methods.
实例证明,本文所提出的建模方法规则分布合理,收敛速度快,泛化性能好,适合建立多输入的软测量模型,具有较好的实际应用价值。
3)  soft measurement model
软测量模型
1.
Based on dynamic measurement characteristics of turbine flowmeter and radioactive water holdup-densitometer combination tool with basket concentrating flow diverter in oil-gas-water three-phase flow loop,a soft measurement model of artificial neural network (ANN)was established to predict the total flow rate and component flow rate fraction of three-phase flow.
基于伞集流涡轮流量计与放射性持水率-密度计组合仪在油气水三相流流动环中的动态测量特性,建立了三相流总流量及分相含率的人工神经网络软测量模型
4)  Soft-measuring Model
软测量模型
1.
Applying soft-measuring technique in sewage treatment process through building the effluent quality parameters soft-measuring model will solve the above-mentioned question, accomplish real-time monitor and forecast of sewage treatment process and realize a more reasonable discharge standard.
将软测量技术应用于污水处理过程,建立出水水质参数的软测量模型,以解决水质参数只能通过人工化验来确知的问题,从而实现污水处理过程的实时计算机监测和预报,最终实现出水的优化排放。
2.
Based on the fuzzy neural networks theory,a soft-measuring model of time difference about spark-ignition advanced angle was proposed by using the spark-ignition advanced angle,engine power and speed as well as other related parameters.
基于模糊神经网络的理论方法,以点火提前角、发动机的功率和转速等特征参数作为二次变量,提出了点火提前角时间差软测量模型
5)  soft-sensor model
软测量模型
1.
Through establishing an appropriate fitness function,the time delay estimation of soft-sensor model could be formulated as a multi-dimension nonlinear functional optimization problem,which could be solved by hybrid differential evolution(HDE)algorithm.
以石油炼制工业中典型装置常压塔为例,对其一线航空煤油的闪点软测量进行了应用验证,结果表明,时延参数估计的引入大大提高了软测量模型的精度,证实了混合差分进化算法的有效性。
6)  dynamic soft sensor model
动态软测量模型
1.
To fully utilize historial data set of output variable obtained by online analysis device,a dynamic soft sensor model of DOSP is developed by a feed-forward neural network that is combined with a Levinson predictor.
分析了影响柴油凝点的多种因素,并充分利用仪表分析值提供的被测变量历史信息,建立了一种神经网络和Levin-son预测器相结合的动态软测量模型,该模型消除了分析值存在纯滞后的影响。
补充资料:软测量
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性质:利用计算机算法,对一些不便直接测量或难以直接测量的过程变量,通过另一些可测的变量来推算,以软件代替检测仪表硬件的功能。软测量具有不需精心维护、动态反应迅速等优点,因而得到广泛应用。软测量主要通过建立工艺机理模型,建立回归模型,状态估计和采用人工智能等方法进行,也称为软仪表。

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