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出 处:《电力自动化设备》2010年第6期55-59,共5页Electric Power Automation Equipment
基 金:河南省教育厅自然科学基金项目(2009A470008)~~
摘 要:为提高电网的自愈能力,实现电气主设备的在线监测或预评估,提出了基于物元理论的变压器绝缘状态分级评估模型。通过分析变压器运行过程中影响其绝缘状态的特征参量,构建了层次型状态评估指标体系;各特征参量用物元表征,通过物元差方变换实现了待评价指标的量化处理;在综合多个专家评估意见方面,引入了专家效度物元的概念,使权重处理更为科学客观;应用欧氏贴近度评估函数,实现了变压器绝缘状态的模式识别或分级评估。实例表明,评估结果更客观,对检修工作更具指导意义。In order to improve the self-healing ability of power network and realize the online monitoring or pre-assessment of the main electrical equipment,a classification evaluation model based on matter-element theory is proposed for the insulation condition of transformer.The state variables affecting the insulation condition of transformer are analyzed and a hierarchical condition evaluation index system is built.The state variable is represented by matter-element and the matter-element differential square transformation is used to quantify the evaluation index.The matter-element of expert validity is introduced to treat the weights more objectively.With Euclid approach degree concept,the pattern recognition or classification of transformer insulation condition is achieved.Example analysis shows the assessment is more objective and practical.
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