This paper investigates the effects of incorporating stochastic features into the simulation of a dynamic suspension system. The study is motivated by a real-world anomaly phenomenon observed in railway vehicles, where changes in the stiffness of rubber springs during operation can lead to irregular motion. A series of tests were conducted to characterize these stiffness variations and their dynamic behavior under stochastic excitation. Using a simplified, symmetrically structured model, the study demonstrates that such changes can initiate system anomalies, accelerating the deterioration of the system’s technical state and potentially leading to a significant reduction in component lifetime.