This article describes investigations into the subject of load assumptions on a self-propelled forage harvester. A measurement campaign during the maize harvest in hilly regions in Germany and the corresponding evaluations are presented. The investigations analyse both the usage profile of the machine and the load data for the chassis. The used sensors enable the acquisition of wheel forces and moments as well as the identification of different driving states. The wheel loads at the front axle are calculated to an auxiliary quantity (dimension of stress at the axle) for a summarised comparison of different load conditions. The stress signal is counted by a rainflow algorithm to implement a damage calculation. In addition to the known rainflow counting, information on the temporal reference of the hystereses within the load-time sequence is detected to assign damage values to defined driving states. The calculated damage values serve as relative comparison criteria for the different driving states.

本文介绍了对自行式牧草收割机的负荷假设主题的研究。介绍了德国丘陵地区玉米收获期间的一次测量活动以及相应的评估。调查将同时分析机器的使用情况和机箱的负载数据。使用的传感器可以获取车轮力和力矩以及识别不同的行驶状态。将前轴的车轮载荷计算为辅助量（轴上的应力尺寸），以汇总比较不同的载荷条件。通过雨流算法对应力信号进行计数，以实现损伤计算。除了已知的雨流量计数之外，检测到在加载时间序列内的磁滞现象的时间参考上的信息，以将损坏值分配给定义的行驶状态。计算出的损坏值用作不同驾驶状态的相对比较标准。