PDF
Full
Outline
The temperature difference in the southeastern region of Tibet is relatively large, which has negative influence on the insulation performance of composite insulators, and affects the continuous and reliable transmission of West East power. Silicone rubber samples were conducted 720 hours of high and low temperature cyclic ageing tests at -20-150℃ in this paper, and the silicone rubber sampes with different cycles were conducted various tests to study the changes of ageing performance in large temperature difference environments. The 12 kinds of tested characteristic parameters were conducted selection of characteristic parameters using Fisher Score, and 4 kinds of significantly correlated characteristic parameters were selected. Taking composite insulators running for 0-11 years as the research object, we conducted performance testing and result analysis on in-service composite insulators based on correlated characteristic parameters, and proposed an improved genetic algorithm to optimize the BP (Back Propagation) neural network prediction algorithm. On the one hand, this algorithm improves the optimal preservation strategy selection operator, and on the other hand, this algorithm dynamically adjusts the mutation probability and crossover probability during the iterative process. The results show that the four ageing characteristic parameters, which are tensile strength, dielectric loss factor tanδ, TGA residual ratio, and Si-OH transmittance reduction rate, are significantly correlated. Compared with the traditional BP and GA-BP (genetic algorithm back propagation) neural networks, the improved GA-BP neural network has stronger nonlinear learning and global optimization capability, and faster network convergence speed. The test error result of the improved GA-BP neural network on a group of samples aged for 11 years is 2.33%. The error between the predicted operating life and the actual service life of five groups of composite insulators is within 5%.
PDF
130
55
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
关闭全屏
No. 86 Xueyuan South Road, Haidian District, Beijing
010-62199257
qkjq@cast.org.cn
Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House
