整机和系统设计 |
|
|
|
|
基于MSSA-SVM的电缆隧道故障预警系统设计 |
纪超1( ),王亮1,王孝敬2,李小兵2,曹雯1 |
1.西安工程大学 电子信息学院,陕西 西安 710600 2.西安金源电气股份有限公司,陕西 西安 710075 |
|
Design of cable tunnel fault warning system based on MSSA-SVM |
Chao JI1( ),Liang WANG1,Xiao-jing WANG2,Xiao-bing LI2,Wen CAO1 |
1.School of Electronic Information, Xi'an Polytechnic University, Xi'an 710600, China 2.Xi'an Jinpower Electrical Co. , Ltd. , Xi'an 710075, China |
引用本文:
纪超,王亮,王孝敬,李小兵,曹雯. 基于MSSA-SVM的电缆隧道故障预警系统设计[J]. 工程设计学报, 2023, 30(1): 109-116.
Chao JI,Liang WANG,Xiao-jing WANG,Xiao-bing LI,Wen CAO. Design of cable tunnel fault warning system based on MSSA-SVM[J]. Chinese Journal of Engineering Design, 2023, 30(1): 109-116.
链接本文:
https://www.zjujournals.com/gcsjxb/CN/10.3785/j.issn.1006-754X.2023.00.002
或
https://www.zjujournals.com/gcsjxb/CN/Y2023/V30/I1/109
|
1 |
卢建序.电力电缆故障预警与测距定位技术研究[D].杭州:浙江大学,2015:11-14. LU Jian-xu. Research on technology of power cable fault warning and localization[D]. Hangzhou: Zhejiang University, 2015: 11-14.
|
2 |
杨静,朱晓岭,董翔,等.基于护层电流的高压电缆故障在线监测和诊断[J].高电压技术,2016,42(11):3616-3625. doi:10.13336/j.1003-6520.hve.20161031022 YANG Jing, ZHU Xiao-ling, DONG Xiang, et al. On-line monitoring and diagnosis of HV cable faults based on sheath currents[J]. High Voltage Engineering, 2016, 42(11): 3616-3625.
doi: 10.13336/j.1003-6520.hve.20161031022
|
3 |
李俊廷.电缆隧道综合监控技术研究[D].秦皇岛:燕山大学,2016:17-22. LI Jun-ting. The research of cable tunnel comprehensive monitoring technology[D]. Qinhuangdao: Yanshan University, 2016: 17-22.
|
4 |
HE Yu-qing, CHEN Yue-hui, YANG Zhi-qiang, et al. A review on the influence of intelligent power consumption technologies on the utilization rate of distribution network equipment[J]. Protection and Control of Modern Power Systems, 2018, 3(1): 18.
|
5 |
张光欣,应黎明.电力变压器模糊数学风险评估模型研究[J].陕西电力,2012,40(4):25-29,48. doi:10.3969/j.issn.1673-7598.2012.04.006 ZHNAG Guang-xin, YING Li-ming. Research of risk assessment model of power transformers based on fuzzy mathematics[J]. Smart Power, 2012, 40(4): 25-29.
doi: 10.3969/j.issn.1673-7598.2012.04.006
|
6 |
赵群辉,张发刚,胡斌,等.电力电缆隧道综合监控系统的设计与实现[J].电工技术,2019(16):61-63,156. doi:10.3969/j.issn.1002-1388.2019.16.027 ZHAO Qun-hui, ZHANG Fa-gang, HU Bin, et al. Design and implementation of integrated monitoring system for power cable tunnels[J]. Electric Engineering, 2019(16): 61-63, 156.
doi: 10.3969/j.issn.1002-1388.2019.16.027
|
7 |
赖磊洲.电缆隧道环境在线监测系统的研究与设计[D].广州:华南理工大学,2012:10-16. doi:10.1109/ccieng.2011.6008127 LAI Lei-zhou. The research and design of environmental monitoring system for cable tunnel[D]. Guangzhou: South China University of Technology, 2012: 10-16.
doi: 10.1109/ccieng.2011.6008127
|
8 |
王雪.电缆隧道综合监测系统设计与实现[D].西安:西安科技大学,2020:15-23. WANG Xue. Design and implementation of cable tunnel integrated monitoring system[D]. Xi'an: Xi'an University of Science and Technology, 2020: 15-23.
|
9 |
肖桂雨,向健平,凌永志,等.基于小波神经网络的风力发电机故障预测方法[J].电力科学与技术学报,2019,34(2):195-202. doi:10.3969/j.issn.1673-9140.2019.02.028 XIAO Gui-yu, XIANG Jian-ping, LING Yong-zhi, et al. Prediction of wind turbine faults based on wavelet neural networks[J]. Journal of Electric Power Science and Technology, 2019, 34(2): 195-202.
doi: 10.3969/j.issn.1673-9140.2019.02.028
|
10 |
李捷辉,贾奎,金炜凯,等.基于优化支持向量机的发动机故障预诊断[J].现代制造工程,2021(3):127-131. LI Jie-hui, JIA Kui, JIN Wei-kai, et al. Engine fault predicting diagnosis based on optimized support vector machine[J]. Modern Manufacturing Engineering, 2021(3): 127-131.
|
11 |
单亚峰,段金凤,付华,等.基于SSA-AdaBoost-SVM的变压器故障诊断[J].控制工程,2022,29(2):280-286. SHAN Ya-feng, DUAN Jin-feng, FU Hua, et al. Transformer fault diagnosis based on SSA-AdaBoost-SVM[J]. Control Engineering of China, 2022, 29(2): 280-286.
|
12 |
马晨佩,李明辉,巩强令,等.基于麻雀搜索算法优化支持向量机的滚动轴承故障诊断[J].科学技术与工程,2021,21(10):4025-4029. doi:10.3969/j.issn.1671-1815.2021.10.023 MA Chen-pei, LI Ming-hui, GONG Qiang-ling, et al. Fault diagnosis of rolling bearing based on sparrow search algorithm optimized support vector machine[J]. Science Technology and Engineering, 2021, 21(10): 4025-4029.
doi: 10.3969/j.issn.1671-1815.2021.10.023
|
13 |
胡璇,李春,叶柯华.灰狼算法优化支持向量机在风力机齿轮箱故障诊断中的应用[J].机械强度,2021,43(5):1026-1034. HU Xuan, LI Chun, YE Ke-hua. Application of GWO-SVM in wind turbine gearbox fault diagnosis[J]. Journal of Mechanical Strength, 2021, 43(5): 1026-1034.
|
14 |
刘冬梅,霍龙龙,王浩然,等.基于PSO-SVM的电流放大器故障诊断研究[J].传感器与微系统,2021,40(8):50-52,56. doi:10.13873/J.1000-9787(2021)08-0050-03 . LIU Dong-mei, HUO Long-long, WANG Hao-ran, et al. Study on fault diagnosis for current amplifier based on PSO-SVM[J]. Transducer and Microsystem Technologies, 2021, 40(8): 50-52, 56.
doi: 10.13873/J.1000-9787(2021)08-0050-03
|
15 |
海涛,范恒,王楷杰,等.基于PSO-SVM算法的风电机组结冰故障诊断[J].智慧电力,2021,49(4):1-6,74. Tao HAI, FAN Heng, WANG Kai-jie, et al. Icing fault diagnosis of wind turbines based on PSO-SVM algorithm[J]. Smart Power, 2021, 49(4): 1-6, 7.
|
16 |
KANG S K, MH P, KIM Y H, et al. Development of anomaly-detection system for the underground cable tunnel using autoencoder[J]. The Transactions of the Korean Institute of Electrical Engineers P, 2020, 69P(2): 69-75.
|
17 |
丁世飞,齐丙娟,谭红艳.支持向量机理论与算法研究综述[J].电子科技大学学报,2011,40(1):2-10. doi:10.3969/j.issn.1001-0548.2011.01.001 DING Shi-fei, QI Bing-juan, TAN Hong-yan. An overview on theory and algorithm of support vector machines[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(1): 2-10.
doi: 10.3969/j.issn.1001-0548.2011.01.001
|
18 |
LI Guo-quan, YANG Lin-xi, WU Zhi-you, et al. D.C. programming for sparse proximal support vector machines[J]. Information Sciences, 2021, 547: 187-201.
|
19 |
王晓辉,王小娟,谷峥,等.基于优化支持向量机的实验设备故障诊断[J].实验技术与管理,2021,38(6):254-257. doi:10.16791/j.cnki.sjg.2021.06.054 WANG Xiao-hui, WANG Xiao-juan, GU Zheng, et al. Fault diagnosis of experimental equipment based on optimized support vector machine[J]. Experimental Technology and Management, 2021, 38(6): 254-257.
doi: 10.16791/j.cnki.sjg.2021.06.054
|
20 |
XUE Jian-kai, SHEN Bo. A novel swarm intelligence optimization approach: sparrow search algorithm[J]. Systems Science & Control Engineering, 2020, 8(1): 22-34
|
21 |
XIAO Ji-hong, ZHU Xue-hong, HUANG Chuang-xia, et al. A new approach for stock price analysis and prediction based on SSA and SVM[J]. International Journal of Information Technology and Decision Making, 2019, 18(1): 287-310.
|
22 |
李雅丽,王淑琴,陈倩茹,等.若干新型群智能优化算法的对比研究[J].计算机工程与应用,2020,56(22):1-12. LI Ya-li, WANG Shu-qin, CHEN Qian-ru, et al. Comparative study of several new swarm intelligence optimization algorithms[J]. Computer Engineering and Applications, 2020, 56(22): 1-12.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|