客运专线路基及轨道变形监测方法的探讨

结合铁路客运专线对路基及轨道的要求，以及当前相关工程监测领域的应用情况，对铁路客运专线路基及轨道变形监测的方法进行了探讨，同时介绍了国内外各种监测方法的原理及技术性能特点，并针对工程实际应用需要，对监测仪器设备的选型进行了相应的介绍。     

压力传感器温度补偿新技术的研究

分析了传感器目前的应用状况和发展障碍,提出了利用人工神经网络作为传感器补偿的新方法,构建了BP神经网络结构,并利用MATLAB软件对网络进行了训练和仿真.     

摊铺机两类拖杠扫描过程几何分析

通过对摊铺机自动找平系统配合使用的两类拖杠（滑杠）在不同工作状况下各自运动过程的几何分析，进一步对两类拖杠的滤波性、抗干扰能力、加工等方面作了比较．     

二维PSD在前照灯检测仪对光上的研究

介绍了传统的前照灯检测仪与被检车灯基准中心对准的对光方式。阐述了PSD位置传感器的工作原理,分析了利用二维PSD对前照灯检测仪进行对光的检测原理,进行了试验验证。结果表明,采用二维PSD对前照灯检测仪进行对光,其检测精度高、结构简单熏克服了传统对光方式精度低或成本高的缺点,为前照灯检测仪的研制提供了新思路。     

曲轴、凸轮轴传感器故障时的电控柴油机喷射控制

根据故障传感器类别、发动机运转情况的不同将发动机状态分类,并确定了各状态间的转换条件及传感器失效判断算法。对应不同状态,建立了不同的相位判断算法与喷射控制时序,编写了完整的曲轴、凸轮轴传感器故障时的喷射控制软件。实验结果表明,该喷射控制软件可在曲轴、凸轮轴传感器失效或恢复的情况下维持发动机运转。     

数据采集系统在混合动力电动汽车上的应用

对3种不同混合动力电动汽车型式进行数据参数分类,指出不同结构类型下,车辆数据采集的参数数量和方式有所区别。对数据参数的采集要求和参数特性进行分析,并提出了相应的解决方案。通过数据采集系统在串联式和并联式混合动力汽车上的应用,分析城市工况下两种混合驱动模式中蓄电池、发动机、电机和整车工作特性,并对其控制策略进行论述。     

Evaluation of RAOs of a semi-submersible platform using field measurements: A full-scale model in Caspian sea environmental conditions

The present research investigates the motion response of a semi-submersible platform using measured field data. The Iran-Amirkabir semi-submersible platform (SSP) was considered as full-scale model in operation conditions. First, 14 accelerometer sensors were installed on the platform's hull, and measurements were made in 5 different scenarios in the Caspian Sea environmental conditions. Then, the Response Amplitude Operators (RAOs) for six degrees of motion were extracted using measured accelerator data. The Surge, Sway, and Heave RAOs processed by the Kalman estimation filter, Pitch, Roll, and Yaw RAOs were calculated from the Sensor Array method. Moreover, the boundary element method in ANSYS/AQWA software for the Iran-Amirkabir semi-submersible model was developed, and the RAO results were validated against the extracted field measurements. The obtained results from the Sensor Array method and the Kalman estimation filter are compared with the numerical simulations, which show Root Mean Square Errors of less than 3% and 4%, respectively for rotational and translational movements. The Mean Square Errors between both methods were also close to zero. Therefore, the proposed methods predicted activities of the studied SSP with relatively good accuracy by field data collected in the Caspian Sea.