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Power equipment reliability evaluation based on data mining

机译:基于数据挖掘的电力设备可靠性评估

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摘要

Electrical power equipment reliability is the basis of the stability operation of distribution network. Equipment reliability includes inherent reliability and operational reliability. Inherent reliability focus on familial defects. Operational reliability focus on meteorological, load rate and others. This paper evaluates power equipment reliability based on integration platform of Jiangsu province electric power company. The inherent reliability and operational reliability are researched separately. The quantitative relationship between fault and condition is researched based on data mining. Weighting coefficients is calculated to combine different factors. On this basis, the reliability evaluation model is constructed and develop the relative software. Operation shows that power equipment reliability evaluation system has engineer applicability and practicality.
机译:电力设备可靠性是配电网稳定运行的基础。设备可靠性包括固有的可靠性和操作可靠性。固有的可靠性关注家族缺陷。操作可靠性侧重于气象,负荷率等。本文评估了基于江苏省电力公司集成平台的电力设备可靠性。分别研究了固有的可靠性和操作可靠性。基于数据挖掘研究了故障和状况之间的定量关系。计算加权系数以组合不同的因素。在此基础上,构建可靠性评估模型和开发相对软件。操作表明,电力设备可靠性评估系统具有工程师的适用性和实用性。

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