[1]张龙伟,胡诗涌,董黄伟,等.轨道伤损在线监测系统关键技术研究与实现[J].声学与电子工程,2022(2):45-49.
[2]田贵云,高斌,高运来,等.铁路钢轨缺陷伤损巡检与监测技术综述[J].仪器仪表学报,2016,37(8):1763-1780.
Tian Guiyun, Gao Bin, Gao Yunlai, et al. Review of Railway Rail Defect Non-Destructive Testing and Monitoring[J]. Chinese Journal of Scientific Instrument, 2016, 37(8): 1763-1780.
[3]郑云水,白邓宇,王妍.基于相似度的道岔健康状态评估及故障检测方法研究[J].铁道科学与工程学报,2021,18(4):877-884.
Zheng Yunshui, Bai Dengyu, Wang Yan. Research on Turnout Health State Assessment and Fault Detection Method Based on Similarity[J]. Journal of Railway Science and Engineering, 2021, 18(4): 877-884.
[4]何森,刘少丽,方玥,等.铁路道岔场景识别与
间距检测[J].计算机集成制造系统,2022,28(6):1823-1834.
He Sen, Liu Shaoli, Fang Yue, et al. Scene Recognition and Distance Detection Method of Railway Turnout[J]. Computer Integrated Manufacturing Systems, 2022, 28(6): 1823-1834.
[5]韦文瑜,张金强.基于声发射技术的道岔尖轨伤损监测系统研究[J].铁道运营技术,2023,29(1):4-7.
Wei Wenyu, Zhang Jinqiang. An Acoustic Emission Based Monitoring System for Turnout Switch Rail Damage[J]. Railway Operation Technology, 2023, 29(1): 4-7.
[6]杨新文,张昭,孟玮,等.道岔区固定辙叉心轨垂磨对轮轨动态接触的影响[J].同济大学学报(自然科学版),2020,48(11):1595-1604.
Yang Xinwen, Zhang Zhao, Meng Wei, et al. Effect of Vertical Wear of Unmovable Frog Nose Rail on Dynamical Wheel-Rail Contact in Turnout Zone[J]. Journal of Tongji University (Natural Science), 2020, 48(11): 1595-1604.
[7]刘宏立,刘伟,马子骥,等.线路各种形态下的有效钢轨轮廓实时识别方法[J].铁道学报,2020,42(12):106-112.
Liu Hongli, Liu Wei, Ma Ziji, et al. Method of Real-Time Recognizing Effective Rail Profiles from Complex Track Structures[J]. Journal of the China Railway Society, 2020, 42(12): 106-112.
[8]叶沁州,熊志金.基于STM32的超声波断轨检测系统设计[J].机电工程技术,2024,53(1):248-252.
Ye Qinzhou, Xiong Zhijin. Design of an Ultrasonic Fractured Rail Detection System Based on STM32[J]. Mechanical & Electrical Engineering Technology, 2024, 53(1): 248-252.
[9]王日,常福祥,李刚,等.基于超声导波技术的断轨实时监测系统研究[J].现代工程项目管理,2024,3(5):117-119.
[10]李浩.基于超声导波的无缝线路断轨检测系统[D].北京:北京交通大学,2015.
[11]王文皞.基于压电超声导波的钢轨结构健康监测系统研究[D].南京:南京航空航天大学,2019.
[12]邢博.基于超声导波的钢轨裂纹检测方法研究[D].北京:北京交通大学,2020.
[13]于秦龙.上海地铁智能运维平台的道岔设备管理[J].铁路通信信号工程技术,2023,20(3):57-62.
Yu Qinlong. Turnout Equipment Management Based on Intelligent Operation and Maintenance Platform of Shanghai Metro[J]. Railway Signalling & Communication Engineering, 2023, 20(3): 57-62.
[14]王旭华,章罕.双轨式钢轨超声波探伤仪一次波和二次波70°超声波换能器检测效果对比分析[J].铁道技术监督,2023,51(12):34-39.
Wang Xuhua, Zhang Han. Comparison and Analysis of the Detection Effect of the Dual-Rail Ultrasonic Flaw Detector Using Primary Wave and Secondary Wave 70° Ultrasonic Transducer[J]. Railway Quality Control, 2023, 51(12): 34-39.
[15]蒋忠辉,杨铁军,吴志刚,等.基于LamB波的道岔断轨监测系统研究与应用[J].铁道建筑,2023,63(1):4-9.
Jiang Zhonghui, Yang Tiejun, Wu Zhigang, et al. Research and Application of Turnout Rail Breakage Monitoring System Based on LamB Wave[J]. Railway Engineering, 2023, 63(1): 4-9.
[16]刘思昊,钱鲁斌,梅曜华,等.基于Wav2vec2.0神经网络的轨道交通钢轨损伤压电阵列超声导波定位方法[J].城市轨道交通研究,2023,26(6):101-105,110.
Liu Sihao, Qian Lubin, Mei Yaohua, et al. Piezoelectric Array Ultrasonic Guided Wave Locating Method for Rail Transit Rail Damages Based on Wav2vec2.0 Neural Network[J]. Urban Mass Transit, 2023, 26(6): 101-105, 110.
[17]刘振华,王华.基于双滑块机构的GW-SH型道岔外锁闭装置研究[J].铁路通信信号工程技术,2023,20(4):1-4.
Liu Zhenhua, Wang Hua. Research on GW-SH Turnout External Locking Device Based on Double-Slider Mechanism[J]. Railway Signalling & Communication Engineering, 2023, 20(4): 1-4.
[18]刘振华.铁路道岔转换阻力分析与监测技术研究[J].铁路通信信号工程技术,2023,20(5):6-9,15.
Liu Zhenhua. Study on Monitoring Technology for Switching Resistance of Railway Turnout[J]. Railway Signalling & Communication Engineering, 2023, 20(5): 6-9, 15.
[19]成容,任喜国,邢美丽,等.一种分布式道岔控制器系统设计[J].铁路通信信号工程技术,2024,21(8):86-91.
Cheng Rong, Ren Xiguo, Xing Meili, et al. Design of Distributed Switch Controller System[J]. Railway Signalling & Communication Engineering, 2024, 21(8): 86-91.
[20]刘聪聪,郑璟瑜,李小帅.电气电路型断轨监测设备测试方案研究[J].铁道技术监督,2024,52(2):35-40.
Liu Congcong, Zheng Jingyu, Li Xiaoshuai. Research on Testing Scheme of Electrical Circuit Type Broken Rail Monitoring Equipment[J]. Railway Quality Control, 2024, 52(2): 35-40.
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