Aging state assessment of transformer cellulosic paper insulation using multivariate chemical indicators
| Autor: | Hanbo Zheng, Jiaqi Wang, Chuansheng Zhang, Kuikui Shi, Jing Guo, Chaohai Zhang, Enze Zhang, Harald Schwarz |
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| Rok vydání: | 2021 |
| Předmět: |
Multivariate statistics
Polymers and Plastics Computer science Electrical insulation paper 02 engineering and technology Ideal solution 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Condition assessment 0104 chemical sciences Weighting Reliability engineering Cellulosic ethanol 0210 nano-technology Reliability (statistics) Transformer (machine learning model) |
| Zdroj: | Cellulose. 28:2445-2460 |
| ISSN: | 1572-882X 0969-0239 |
| Popis: | Compared with a single chemical indicator, the use of multivariate chemical indicators in aging status assessment of transformer cellulose paper insulation can improve the reliability of the evaluation. In this study, a non-destructive method based on multivariate chemical indicators was proposed to evaluate the remaining life of cellulosic paper insulation. The selected chemical indicators closely related to the aging of the insulating paper were analyzed. Additionally, by applying the subjective and objective weighting method, the evaluation information of each indicator was fully extracted to obtain reasonable comprehensive evaluation weights. Besides, the comprehensive evaluation index of multivariate chemical indicators was obtained by using the technique for order preference by similarity to ideal solution method, which is consistent with the deterioration law of paper insulation. Then, the correlation lifespan model between the comprehensive evaluation index of multivariate chemical indicators and the degree of polymerization of insulating paper under different aging stages was established. The effectiveness of the proposed model was verified by experiments. This promising model can increase the accuracy of the condition assessment for the transformer cellulosic paper insulation. |
| Databáze: | OpenAIRE |
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