软测量技术也称为软仪表技术。
Soft measurement technology is also named soft instrument technology.
软测量是基于推断控制的一门新兴工业技术。
The soft sensor is a new industrial technique based on inferential control.
本文把软测量技术应用于尾部烟气氧含量的测量。
The soft-sensing technique is used to measure oxygen content in flue gases in this paper.
软测量技术是一门新兴的工业技术，发展前景广阔。
As a rising industrial technology, soft sensing has great developing space.
软测量技术是基于推断控制理论的一门新兴工业技术。
SoftSensing technique is a novel industrial technique based on inferential control theory.
介绍了芳烃歧化装置应用软测量和先进控制技术的情况。
The application of soft sensor and advanced process control technology in aromatics disproportionation unit is introduced.
论文首先介绍了课题的基本情况、软测量技术及称重法建模。
Firstly, we introduce the basic circs of the project, soft sensor method and the theory of weighing method.
软测量技术是通过数学模型来估计工程上难以检测的变量值。
Soft-sensing techniques provide estimate of engineering variables which are difficult to measure by mathematical model.
探讨了软测量常用的几类建模方法，包括回归分析和神经网络。
Several model building methods for the soft sensor are described, including regression analysis and neural networks.
提出了一种通过调整减法聚类半径优选模糊规则的软测量建模方法。
A soft sensor modeling method is presented which selects optimal fuzzy rules by tuning the radius of a subtractive cluster center.
软测量模型的建立与实施本身是一项费时、费力、异常烦琐的工作。
The modeling and application of soft-measurement essentially is a time-consuming, energy-consuming and complicated work.
软测量技术是通过间接方法实现对不易直接测量的过程变量进行估计。
Soft measurement technique is a method to estimate process Variables hard to measure directly through indirect method.
用神经网络为非线性软测量建模，用于推断估计不可在线测量的变量。
Modeling for nonlinear soft measuring by means of neural network can be used to estimate variables that can not be measured on line.
主导变量与过程变量之间的时序匹配是软测量技术不可缺少的组成部分。
Time alignment matching between the primary variables and the process variables is an important part of the soft sensor technology.
重点介绍了常压塔系统油品质量软测量的实施，并对运行结果进行了分析。
Emphasized introduction is paid to implementation of soft measurement for quality of oil products in extract atmospheric tower.
本文通过检测电流信号基于随机模糊神经网络建立了刀具磨损量的软测量模型。
Through measuring the electric current signal, the soft sensing model used for tool wear estimation based on stochastic fuzzy neural network(SFNN) is presented in this paper.
然后将软测量模型应用于工业异构化装置，在线估计对二甲苯（PX）的含量。
The model was then applied to an industrial isomerization unit for on-line estimation of the para-xylene (PX) concentration.
以径向基函数神经网络作为软测量模型，在软测量建模中引入正则化学习算法。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
软测量作为一种快速、高效的检测方法，在植物药生产中具有良好的应用前景。
The soft sensing technique can find wide applications in the production of plant medicine.
预测结果表明，采用BP神经网络建立软测量模型是可行的，所建模型是合理的。
The result forecasted makes it clear that to creating soft-measuring model by BP neural network is doable and the model is reasonable.
该方法由三部分组成：主元分析pca、时间延迟神经网络、软测量模型的在线校正。
It is composed of three elements: PCA, time-delay neural network and model updating, where the offline model is trained through the algorithm GABP.
讨论了软测量的原理、应用场合、模型建立和模型校正，以及它对检测和控制系统的影响。
The principle, application scopes, model establishment and model correction of the soft measurement as well as its influence upon detection and control systems are discussed.
介绍了软测量技术的研究及应用现状，分析了软测量两种建模方式及其在不同场合的应用。
This paper introduces the current study and application of soft measurement technique, analyses two modeling ways in soft measurement and their applications in different occasions.
研究了某厂丁二烯精馏塔塔底控制回路目前存在的问题，提出了基于软测量的推断控制方案。
The existing problems in bottom tower control of butadiene rectifying tower in certain plant are investigated. The inference control strategy based on soft measurement is stated.
实验结果表明，该软测量模型能快速得出转炉当前炉次的粗铜成分数据，具有很高的精度。
Experimental results indicate that the crude copper composition in current copper convertor can be quickly and precisely determined by the proposed soft-sensing model.
介绍了基于实时嵌入式操作系统的软测量软件包的设计原理、系统框架、关键技术及核心算法。
The design principle, system frame, critical technologies and kernel algorithm of the software package of soft measurement based on real time embedded operating system are introduced.
本文采用主成分分析技术对过程数据降维，然后用降维后的数据训练神经网络，建立软测量模型。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
引入软测量技术，成功地开发了基于电热连续结晶机槽内温度梯度，来实现槽内物料组分的测量。
This paper has successfully developed a intelligentized software measuring instrument of the materiel components in electrorefining successive crystallization machine by its temperature grads.
在分析工艺机理的基础上，用PLS- RBFN并联方法建立延迟焦化粗汽油干点软测量模型。
On the basis of analysis of the process mechanism, the model for soft measurement of the dry-point of crude gasoline delayed coking is established by using PLS-RBFN parallel method.
在分析工艺机理的基础上，用PLS- RBFN并联方法建立延迟焦化粗汽油干点软测量模型。
On the basis of analysis of the process mechanism, the model for soft measurement of the dry-point of crude gasoline delayed coking is established by using PLS-RBFN parallel method.
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