Design of a Data Fusion System for Short-Circuit Testing of High-Voltage Distribution Devices in Mining
DOI:
https://doi.org/10.54097/x7gz7g21Keywords:
eCAN bus, coal mine; starter, communication system.Abstract
Mining is a crucial foundation for the rapid development of the national economy and an important guarantee for national energy security. Based on an analysis of the safety production situation in mines, this paper introduces the origin, development, and application fields of multi-data fusion technology. It discusses the characteristics of parallel, serial, serial-parallel hybrid, and networked data fusion structures and designs a data fusion structure for short-circuit testing of high-voltage vacuum distribution devices used in mining. This design serves as a reference for the development of short-circuit testing systems for high-voltage vacuum distribution devices in mines.
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[1] X. Wang, L. Huang, J. Mei, P. Wu and W. Wu, "Design of a New Distribution Network Fault Location and Diagnosis Algorithm Based on Multivariate Data Fusion," 2023 International Conference on Power, Electrical Engineering, Electronics and Control (PEEEC), Athens, Greece, 2023, pp. 916-920
[2] R. Ayoubi and S. Kaboli, "A Robust Short-Circuit Fault Diagnosis for High Voltage DC Power Supply Based on Multisensor Data Fusion," 2019 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), Shiraz, Iran, 2019, pp. 659-66
[3] W. Zhe, Z. Zhang, Z. Xuefei, X. Jing and C. Fujian, "Research on distribution network data fusion considering renewable energy," 2017 2nd International Conference on Power and Renewable Energy (ICPRE), Chengdu, China, 2017, pp. 500-504
[4] Miao Hongxia and Wang Honghua, "Research on fault diagnosis method of high-voltage circuit breaker based on fuzzy neural network data fusion," 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), Taiyuan, China, 2010, pp. V11-231-V11-235
[5] Q. Liang et al., "Research on Fault Diagnosis Method of High Voltage Switchgear Based on LPWAN Multi-Source Information Fusion," 2023 2nd International Conference on Clean Energy Storage and Power Engineering (CESPE), Xi'an, China, 2023, pp. 1-6
[6] G. Tuanjie, C. Yanzhao, D. Wenjiao, M. Ronghuan and M. Chengzhi, "A Fault Diagnosis Model of High-Voltage Circuit Breaker Based on Cyber-Physical Fusion," IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, 2023, pp. 1-6
[7] L. Meng, Y. Wang, J. Zhou, X. Ding and X. Li, "Multi Information Fusion and Fault Diagnosis System for Motor Drive System in High Speed Train," 2018 Prognostics and System Health Management Conference (PHM-Chongqing), Chongqing, China, 2018, pp. 1307-1313
[8] Y. Du et al., "Single Line-to-Ground Faulted Line Detection of Distribution Systems With Resonant Grounding Based on Feature Fusion Framework," in IEEE Transactions on Power Delivery, vol. 34, no. 4, pp. 1766-1775, Aug. 2019
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