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.