Abstract Based on the association rules and variable weight synthesizing theory, a new insulation condition assessment (ICA) method for power transformers is presented, employing fused information in both time and space dimensions. With the uncertainty and fuzziness of available data from the power transformer concerned taken into account, a multilateral transformer ICA model based on fuzzy and evidence reasoning is developed. The ICA model contains three layers: target layer, factor layer, and index layer. The association rules and variable weight synthesizing theory are applied to determine the variable weight coefficients of factors and its indicators in the assessment model. A fuzzy membership function is formulated to describe the factor layer on assessment model. The evidence reasoning and the multilateral assessment scheme are adopted to merge the information of each factor in time and space dimensions, and then the assessing result of the transformer is obtained. Numerical results based on practical scenarios demonstrate that the proposed method is feasible and efficient.

中文翻译：

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采用时空维融合信息的电力变压器绝缘状况评估

摘要 基于关联规则和变权综合理论，提出了一种新的电力变压器绝缘状态评估（ICA）方法，利用时间和空间维度的融合信息。考虑到相关电力变压器可用数据的不确定性和模糊性，建立了基于模糊和证据推理的多边变压器ICA模型。ICA 模型包含三层：目标层、因子层和指标层。应用关联规则和变权综合理论确定评价模型中各因素及其指标的变权系数。制定了模糊隶属度函数来描述评估模型上的因素层。采用证据推理和多边评估方案，在时间和空间维度上合并各个因素的信息，从而得到变压器的评估结果。基于实际场景的数值结果表明所提出的方法是可行和有效的。