Abstract In this paper, the principal component analysis (PCA) method was used to fuse multiple feature quantities to determine the comprehensive evaluation index according to the principal component, and the positive and negative ideal values are obtained by combining test data. Therefore, an improved traditional technique for order preference by similarity to ideal solution (TOPSIS) model was proposed, which can overcome the randomness caused by human factors when setting the weight matrix and obtaining the positive and negative ideal values. The effectiveness of the proposed model was verified by the example of evaluating the aging state of insulation paper for converter transformers under the combined vibration and temperature conditions. Firstly, combined with the accelerated mechanical-thermal aging experiments of the insulation paper, the mechanical and electrical properties of the insulation paper and the furfural content, the improved TOPSIS method fuses the multi-feature quantities that characterize the aging of insulation paper, such as degree of polymerization, tensile strength, furfural content and dielectric dissipation factor at characteristic frequencies. Secondly, the quantitative expression between the comprehensive evaluation index and the tensile strength of insulation paper was obtained, and the corresponding tensile strengths when the insulation performance was good and severely deteriorated were taken as the positive and negative ideal values, respectively. Finally, combined with the tensile strength loss rate of insulation paper, the principle of setting the proximity interval was given, and the quantitative evaluation of the aging state of insulation paper was realized. The results show that the improved TOPSIS method not only includes the multiple feature quantities that can characterize the aging state of insulation paper, but also overcomes the shortcomings of the traditional TOPSIS method, which can be used to accurately evaluate the aging state of insulation paper under the complex mechanical-thermal condition.
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2022, Vol. 37 
