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Rough sets-based prediction model for increasing safety of thermal power plants
Energy Sources, Part B: Economics, Planning, and Policy ( IF 3.1 ) Pub Date : 2019-05-22 , DOI: 10.1080/15567249.2019.1617372
Vladimir Brtka 1 , Vesna Makitan 1 , Ljiljana Radovanovic 1 , Zoran Zivkovic 2 , Oliver Momcilovic 3
Affiliation  

This paper presents a model based on the rough sets theory for the prediction of a feed pump failure on a steam block of thermal power plant. There are many parameters that can cause pump failure, and this model enables extraction of the most significant ones. Model creation is based on the empirical data collected during the operation of thermal power plant, which is a part of the largest system for electricity production in Serbia. The model provided an insight into the parameters that have the greatest influence on the operation of the feed pump, and can be applied to other elements of the thermal power plant and affect the overall increase in the safety of thermal power plant operation. The goal of implementation of a new model is to increase system reliability by reducing the number of failures, thus increasing operational safety of thermal power plants. This is in accordance with the provision of energy security by applying measures of Directive 2005/89/EU. According to the directive, it is necessary to ensure: a reliable, safe, efficient and quality power supply.



中文翻译:

基于粗糙集的预测模型,可提高火电厂的安全性

本文提出了一种基于粗糙集理论的模型,用于预测火力发电厂蒸汽块上给水泵的故障。有许多参数可能导致泵故障,并且该模型可以提取最重要的参数。模型的创建基于火力发电厂运行期间收集的经验数据,该发电厂是塞尔维亚最大的电力生产系统的一部分。该模型可以深入了解对给水泵的运行产生最大影响的参数,并且可以应用于火力发电厂的其他组件,并影响火力发电厂运行安全性的总体提高。实施新模型的目的是通过减少故障数量来提高系统可靠性,从而提高了火力发电厂的运行安全性。这符合通过采用指令2005/89 / EU的措施提供的能源安全。根据指令,必须确保:可靠,安全,高效和优质的电源。

更新日期:2019-05-22
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