检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:高鸽子[1] Gao Gezi(Xi’an Railway Vocational and Technical Institute,Xi’an,Shaanxi 710600,China)
出 处:《西安轨道交通职业教育研究》2024年第3期6-9,33,共5页Xi'an Rail Transit Vocational Education Research
摘 要:为了提高轨道不平顺检测精度精度,通过光纤陀螺仪开展的轨道不平顺测试实验。通过支持向量机开展预测分析研究。研究结果表明:采用人工拉弦对检测场轨道的左右轨轨向进行测量,并分析测量工作的精度。通过实验数据分析,验证了某基于光纤陀螺仪轨检车测量轨向的内、外符合测量精度;本文中轨检小车凭借惯导技术的连续性和立体交汇测量技术的快速性,在检测过程无需停车,可以实现5km/h的绝对测量和10km/h的相对测量,能较好的满足目前高铁运输的需求,为轨道的调整养护提供精准的数据指导。建立了支持向量机预测模型,获得了较低均方误差,并且获得了约为1的决定系数,表明采用此方法构建的预测模型满足可靠性要求。In order to improve the accuracy of track irregularity detection,the test experiment of track irregularity was carried out by fiber optic gyroscope.The predictive analysis research is carried out by support vector machine.The results show that the left and right track direction of the track in the detection field is measured by artificial string pulling,and the accuracy of the measurement is analyzed.Through the analysis of the experimental data,the accuracy of the inner and outer alignment of a certain fiber optic gyro instrument track inspection vehicle is verified.In this paper,by virtue of the continuity of inertial navigation technology and the rapidness of three-dimensional intersection measurement technology,the track inspection car does not need to stop in the detection process,and can realize the absolute measurement of 5km/h and the relative measurement of 10km/h,which can better meet the current demand of high-speed rail transportation and provide accurate data guidance for the adjustment and maintenance of track.The support vector machine prediction model is established,and the low mean square error is obtained,and the determination coefficient is about 1,which indicates that the prediction model constructed by this method meets the reliability requirements.
关 键 词:光纤陀螺仪 轨检小车 轨道平顺性 轨距 支持向量机 预测
分 类 号:TP38[自动化与计算机技术—计算机系统结构]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.218.185.164