参考文献/References:
[1] 毛少虎, 郑双朝. 关于优化大型钢轨探伤车检测模式的探讨[J]. 铁道技术监督, 2019, 47(11): 42-45.
MAO Shaohu, ZHENG Shuangchao. Discussion on Optimizing the Inspection Mode of Large Rail Flaw Detection Vehicle[J]. Railway Quality Control, 2019, 47(11): 42-45.
[2] 张玉华, 马运忠, 李培, 等. 探伤车超声波检测系统基准灵敏度确定方法[J]. 铁路技术创新, 2021(6): 29-33.
ZHANG Yuhua, MA Yunzhong, LI Pei, et al. Method for Determining Reference Sensitivity of Ultrasonic Testing System of Flaw Detection Car[J]. Railway Technical Innovation, 2021(6): 29-33.
[3] 石永生, 罗国伟, 徐其瑞. 钢轨探伤车对轨头核伤检测能力的分析[J]. 无损检测, 2014, 36(9): 34-37, 41.
SHI Yongsheng, LUO Guowei, XU Qirui. Analysis on Transverse Cracks Detection Capability of Rail Flaw Detection Vehicle[J]. Nondestructive Testing Technologying, 2014, 36(9): 34-37, 41.
[4] TB/T 2340-2012 钢轨超声波探伤仪[S].
TB/T 2340 - 2012 Ultrasonic Testing Detector for Rail[S].
[5] 中国机械工程学会无损检测分会. 超声波检测[M]. 2版. 北京: 机械工业出版社, 2000
Chinese Society of Mechanical Engineering Non-destructive Testing Branch. Ultrasonic Detect/Inspection[M]. 2nd ed. Beijing: China Machine Press, 2000.
[6] GB/T 28426 - 2021铁路大型养路机械钢轨探伤车[S].
GB/T 28426 - 2021 Rail Heavy-duty Maintenance Machinery—Rail Flaw Detection Vehicle[S].
[7] 谢祺. 关于提高钢轨探伤车小型核伤检出率的研究[J]. 铁路工程技术与经济, 2019, 34(2): 21-23, 29.
XIE Qi. Research on Improving the Detection Rate of Small-scale Rail Head Transverse Cracks of Rail Flaw Detection Vehicle[J]. Railway Engineering Technology and Economy, 2019, 34(2): 21-23, 29.
[8] 石永生, 马运忠, 傅强, 等. 钢轨探伤车的检测运用模式与伤损分级探讨[J]. 铁路技术创新, 2012(1): 96-98.
SHI Yongsheng, MA Yunzhong, FU Qiang, et al. Discussion on Detection and Application Mode and Damage Classification of Rail Flaw Detection Vehicle[J]. Railway Technical Innovation, 2012(1): 96-98.
[9] 连军, 李尧华, 高健. 钢轨超声波探伤仪灵敏度20%林状回波调节法[J]. 铁道技术监督, 2022, 50(2): 50-54.
LIAN Jun, LI Yaohua, GAO Jian. 20% Forest Echo Adjustment Method for Sensitivity of Ultrasonic Testing Detector for Rail[J]. Railway Quality Control, 2022, 50(2): 50-54.
[10] 石永生. 依靠杂波设置探伤车检测标准的分析探讨[J]. 中国铁路, 2013(5): 67-70.
SHI Yongsheng. Analysis and Discussion on Setting Detection Standard of Flaw Detection Vehicle Based on Clutter[J]. Chinese Railways, 2013(5): 67-70.