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Modelling Pattern for Coal Loaded Wagon Rakes' Arrival in a Low Capacity Thermal Power Plant

机译:低容量火电厂装煤货车耙到达的建模模式

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Material handling has been an important consideration for any industrial unit. The thermal power plants producing usable and easily transmissible form of energy for industrial growth as well as domestic happiness invariably depend on rakes of coal received and their unloading for smooth operation. A model has been developed to forecast arrival of coal rake in the thermal power plant having capacity around 500 MW. The knowledge of arrival of coal rakes is an essential parameter for smooth functioning and continuous operation of a thermal power plant. The knowledge of 3-point moving average has been applied and repetitively used to smoothen the haphazardly distributed and enormously large number of data collected from the plants and that of multiple linear regression analysis has been used for developing the model. The knowledge of multiple linear regression analysis and 3-point moving average and its iteration on the irregularly placed and haphazardly distributed data pertaining to the arrival of coal loaded wagon rakes finds the model suggested for the variable, interarrival time giving higher value of coefficient of determination and passing F-test for its validity.
机译:物料搬运已成为任何工业部门的重要考虑因素。火力发电厂为工业发展和家庭幸福而产生可用和易于传递的能源形式,始终依赖于所接收的煤炭耙和将其卸出以确保平稳运行。已经开发出一种模型来预测煤耙到达火电厂的容量为500兆瓦。煤耙到达的知识是火力发电厂平稳运行和连续运行的重要参数。已经应用了三点移动平均值的知识,并反复使用该知识来平滑从工厂收集的随意分布的大量数据,并使用多元线性回归分析的知识来开发模型。多元线性回归分析和三点移动平均值的知识以及对与装煤货车耙到达有关的不规则放置和随意分布数据的迭代发现了建议的变量,到达间隔时间模型,可提供更高的确定系数值并通过F检验以证明其有效性。

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