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首页> 外文期刊>IEEE transactions on industrial informatics >Constraint-Based Control of Boiler Efficiency: A Data-Mining Approach
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Constraint-Based Control of Boiler Efficiency: A Data-Mining Approach

机译：基于约束的锅炉效率控制：数据挖掘方法

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摘要

In this paper, a data-mining approach is used to develop a model for optimizing the efficiency of an electric-utility boiler subject to operating constraints. Selection of process variables to optimize combustion efficiency is discussed. The selected variables are critical for control of combustion efficiency of a coal-fired boiler in the presence of operating constraints. Two schemes of generating control settings and updating control variables are evaluated. One scheme is based on the controllable and noncontrollable variables. The second one incorporates response variables into the clustering process. The process control scheme based on the response variables produces the smallest variance of the target variable due to reduced coupling among the process variables. An industrial case study and its implementation illustrate the control approach developed in this paper
机译：在本文中，使用数据挖掘方法来开发一个模型，该模型可在操作约束条件下优化电热锅炉的效率。讨论了选择过程变量以优化燃烧效率。选择的变量对于在存在操作限制的情况下控制燃煤锅炉的燃烧效率至关重要。评估了生成控制设置和更新控制变量的两种方案。一种方案基于可控变量和不可控变量。第二个将响应变量合并到聚类过程中。由于过程变量之间的耦合减少，基于响应变量的过程控制方案会产生最小的目标变量方差。一个工业案例研究及其实现说明了本文开发的控制方法

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