@ARTICLE{Wang_Sihua_Fuzzy_2022,
 author={Wang, Sihua and Chen, Long and Zhao, Lei and Wang, Junjun},
 volume={vol. 71},
 number={No 1},
 journal={Archives of Electrical Engineering},
 pages={57-74},
 howpublished={online},
 year={2022},
 publisher={Polish Academy of Sciences},
 abstract={The aging of composite insulators in outdoor operation for a long time has a direct impact on the safe and stable operation of the power grid. To solve this problem, fuzzy comprehensive evaluation of composite insulators based on level difference maximum is proposed. To verify the feasibility of this method, insulators in Xinjiang are sampled and the index evaluation system for composite insulators is established based on electrical, mechanical, hydrophobic and other properties, combined with operational years, geographical environment and other factors; Firstly, different membership functions are established according to index types. It is more likely to determine the grade of insulator by comparing measured data with the boundary value. Then, to solve the problem that weights cannot be effectively integrated in the combination weighting, level difference maximization is proposed (during the operation of insulators, the index which has a greater influence on the performance of insulators takes a higher proportion of the weight). Finally, on the basis of fully considering the clarity and ambiguity of grade division, the grade state of insulators is obtained by using the linear weighting method. The results show that compared with the traditional method, the improved method of the membership function and level difference maximum can realize the dynamic adjustment of the index based on the degree of information change. The method can better evaluate the insulator grade. The case study shows that the model can accurately and quickly judge the state of composite insulators, which can be used as a reference for manufacturing and maintenance departments.},
 type={Article},
 title={Fuzzy comprehensive state evaluation of housing of silicone rubber insulators based on level difference maximization},
 URL={http://journals.pan.pl/Content/122615/PDF/art04_corr.pdf},
 doi={10.24425/aee.2022.140197},
 keywords={entropy weight method silicone rubber composite insulator, fuzzy comprehensive evaluation, improved analytic hierarchy process, level difference maximization method, membership function},
}