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On the basis of obtaining many characteristic information and optimization evaluation indicators for characterizing the internal insulation condition of gas insulated switchgear (GIS), how to effectively classify weights and integrate information on the evaluation indexes, and establish a comprehensive evaluation model for insulation condition considering economic value and universality is another difficult problem to be solved. In this research, the above-mentioned 23 comprehensive evaluation index system, which are optimized to cover the PD hazard, SF6 insulation performance and time, environment and economy, are put forward, the idea of correcting the SF6 decomposition component monitoring data are proposed, and the general mathematical correction formula and method are given. The improved DS evidence fusion theory is used to make information decision fusion. The multi-class information fusion evaluation model of GIS equipment insulation condition is established. The fuzzy level analysis is used as the evaluation method framework to solve the problem of the index weight setting and membership determination of the evaluation indexes. The application of the example shows that the evaluation model and technology established in this research has achieved multiple types of information complementation, and the evaluation results are reasonable and credible.

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Comprehensive Evaluation and Application of GIS Insulation Condition Part 2: Construction and Application of Comprehensive Evaluation Model Considering Universality and Economic Value