收藏切换
Study on ageing characteristics and operating life prediction of silicone rubber for composite insulators under large temperature difference
收藏切换
PDF
Zhimin QIU1, 2, Bing KANG1, 2, Xia YAN1, 2, Guili DING1, 2, Zhihao XU1, 2, Qiang LI3, Haixin MO1, 2
Insulating Materials | 2024, 57(9) : 69 - 79
Less
收藏切换
Insulating Materials | 2024, 57(9): 69-79
Insulation Technology
Study on ageing characteristics and operating life prediction of silicone rubber for composite insulators under large temperature difference
Full
Zhimin QIU1, 2, Bing KANG1, 2, Xia YAN1, 2, Guili DING1, 2, Zhihao XU1, 2, Qiang LI3, Haixin MO1, 2
Affiliations
  • 1School of Electrical Engineering, Nanchang Institute of Technology, Nanchang 330099, China
  • 2Jiangxi High Voltage and High Power Power Electronics and Grid Intelligent Measurement Engineering Research Center, Nanchang 330099, China
  • 3Dali Bureau of Southern Power Grid Ultra High Voltage Transmission Company, Dali 671014, China
Published: 2024-09-20 doi: 10.16790/j.cnki.1009-9239.im.2024.09.007
Outline
收藏切换

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%.

composite insulators  /  high and low temperature cycling  /  Fisher Score  /  BP neural network  /  GA-BP neural network  /  operating life prediction
Zhimin QIU, Bing KANG, Xia YAN, Guili DING, Zhihao XU, Qiang LI, Haixin MO. Study on ageing characteristics and operating life prediction of silicone rubber for composite insulators under large temperature difference[J]. Insulating Materials, 2024 , 57 (9) : 69 -79 . DOI: 10.16790/j.cnki.1009-9239.im.2024.09.007
Year 2024 volume 57 Issue 9
PDF
127
54
Cite this Article
BibTeX
Article Info
doi: 10.16790/j.cnki.1009-9239.im.2024.09.007
  • Receive Date:2023-08-10
  • Online Date:2025-12-24
  • Published:2024-09-20
Article Data
Affiliations
History
  • Received:2023-08-10
  • Revised:2023-12-22
Funding
Affiliations
    1School of Electrical Engineering, Nanchang Institute of Technology, Nanchang 330099, China
    2Jiangxi High Voltage and High Power Power Electronics and Grid Intelligent Measurement Engineering Research Center, Nanchang 330099, China
    3Dali Bureau of Southern Power Grid Ultra High Voltage Transmission Company, Dali 671014, China
References
Share
https://castjournals.cast.org.cn/joweb/jycl/EN/10.16790/j.cnki.1009-9239.im.2024.09.007
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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
  • BibTeX
  • EndNote
  • RefWorks
  • TxT