Insulation condition assessment method of mine-used transformer based on spatio-temporal information fusio
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摘要: 现有矿用变压器状态评估方法大多侧重评估模型及理论的研究，而忽视各评估指标时域和空域的关联性分析。针对该问题，提出了一种基于时空信息融合的矿用变压器绝缘状态评估方法。针对矿用变压器绝缘状态评估中数据信息的随机性、模糊性等特点，建立多层次状态评估体系；引入关联规则和变权重理论，确定评估模型中因素层的变权重系数，构建因素层指标的模糊隶属度函数，并计算其原始基本概率赋值；基于D-S证据理论对评估模型中各因素及各周期的基本概率赋值进行融合，首先将因素层评估得到的各因素基本概率赋值与其权重系数进行时域信息融合，然后对其时域融合信息进行空域融合，最后结合信度准则判断矿用变压器绝缘状态。实例验证结果表明，所提方法可对矿用变压器绝缘状态进行准确有效评估。Abstract: The existing condition assessment methods of mine-used transformer mostly focus on assessment model and theory research, while neglect temporal and spatial correlation analysis of evaluation indexes. In view of the problem, an insulation condition assessment method of mine-used transformer based on spatio-temporal information fusion was proposed. In view of randomness and fuzziness of data information in the insulation condition assessment method of mine-used transformer, a multilateral condition assessment system of mine-used transformer was established. Variable weight coefficients of factors layer of evaluation model were determined introducing association rules and variable weight synthesizing theory. A fuzzy membership function was formulated to describe the factor layer, and its original basic probability assignment was calculated. The basic probability assignment of factors and cycles in evaluation model was fused based on D-S evidence theory, firstly, basic probability assignment of factors obtained by the assessment factors layer and its weight coefficient were fused based on time domain information fusion, and then the time domain fusion information was used for airspace fusion, finally insulation condition of mine-used transformers was judged combining reliability criterion. The results of practical example prove that the proposed method can evaluate the insulation condition of mine-used transformers accurately and effectively.
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