In this paper, soft sensor technique which is in the ascendant in contemporary process industry is introduced.
介绍了过程工业中方兴未艾的软仪表技术。
The soft sensor is a new industrial technique based on inferential control.
软测量是基于推断控制的一门新兴工业技术。
To ensure the control effect, the algorithm to measure the quality of soft sensor and measuring points is adopted.
为保证控制效果，方案中还采用了软测量和测点品质判断算法。
Several model building methods for the soft sensor are described, including regression analysis and neural networks.
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。
Based mainly on mechanism analysis, online soft sensor for FCCU reaction conversion and resultant yields is developed.
基于机理分析，实现了催化裂化反应再生系统预测转化率和产品产率的在线软测量。
The application of soft sensor and advanced process control technology in aromatics disproportionation unit is introduced.
介绍了芳烃歧化装置应用软测量和先进控制技术的情况。
A soft sensor modeling method is presented which selects optimal fuzzy rules by tuning the radius of a subtractive cluster center.
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。
Then, USES PCA to reduce the dimensions of process data, trains the neural network with that data, and establishes the soft sensor.
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。
Time alignment matching between the primary variables and the process variables is an important part of the soft sensor technology.
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。
The method was used to detect gross errors in modeling data for a propylene concentration soft sensor in a refinery factory and good results were obtained.
用该方法对某炼油厂的气体 分离装置的丙烯浓度软测量建模数据进行过失误差侦破，取得了很好的效果。
The simulation on the platform of sewage disposal is made for the soft sensor model of biochemical oxygen demand (BOD) and some better results are obtained.
在污水处理过程仿真平台展开验证 工作，对生化需氧量BOD的软测量进行建模，获得了良好的实验结果。
A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.
提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法，并应用于初顶石脑油干点软测量模型建立。
In this paper, soft sensor modeling method based on Least Square SVM (LS SVM) is proposed, and cross validation method is used to select hyper-parameter of LS SVM model.
本文研究了基于最小二乘支持向量机的软测量建模方法，并用交叉验证的方法进行支持向量机参数选择。
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.
在采用递阶模糊系统进行软测量建模时，合理的模糊系统结构对于提高模型的性能具有重要的意义。
On the basis of analysis of several methods for modeling, a soft sensor based on kernel principal component analysis (KPCA) and least square support vector machine (LSSVM) is proposed.
在具体分析了多种建模方法的基础上，提出了核主元分析结合最小二乘支持向量机软测量建模方法。
With the soft sensor we developed, stable control of high-consistence refined-pulp quality is achieved by adjusting concentrator level, pulp consistence and disc refiner power properly.
为了得到稳定的成浆质量，采用基于软测量模型，适当调节浓缩机浆位、出口浓度、盘磨机功率的策略，实现了打浆度、湿重的稳定控制。
Soft sensor model based on LS SVM is applied to predication of frozen point of light diesel oil.
将基于最小二乘支持向量机的软测量模型应用于轻柴油凝固点的预估。
Soft sensor has been widely used in industrial process control. It makes an important role to improve the quality of product and assure safety in production.
软测量技术在工业过程控制中得到了广泛的应用，对保证产品质量和安全生产有很重要的作用。
Expert system can use experts' knowledge and experience to ratiocinate, judge and make decision, which is an effective way to construct the soft-sensor hybrid model.
专家系统能够运用专家的知识与经验进行推理、判断和决策，是解决生物量软测量混合模型构建的有效方法。
Redundancy verification algorithm is a good approach to solve redundancy problem in rules lay of knowledge base of biomass soft-sensor expert system.
采用规则冗余算法可以很好地解决生物量软测量专家系统知识库中规则层的冗余问题。
Finally, the dissertation is concluded with a summary and discussions of the problems for further research and exploration on soft-sensor modeling technique.
最后，在总结全文的基础上，探讨了软测量建模技术有待进一步研究和探讨的问题。
By combining block-wise recursive PLS with finite memory method, a new adaptive algorithm was proposed to build adaptive soft-sensor.
针对基于批量数据的传统偏最小二乘（PLS）模型无法随生产过程的变化而更新的问题，提出基于块式递推PLS的限定记忆法。
This brings difficulties to control and optimize Nosiheptide fermentation process. To solve this problem, soft-sensor technique was used, and a staged modeling method was proposed.
针对这一问题，利用软测量技术来实现关键生化参数的在线估计，并提出了一种分阶段软测量建模方法。
This brings difficulties to control and optimize Nosiheptide fermentation process. To solve this problem, soft-sensor technique was used, and a staged modeling method was proposed.
针对这一问题，利用软测量技术来实现关键生化参数的在线估计，并提出了一种分阶段软测量建模方法。
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