Curve squeal noise depends on different influence parameters. This study investigates the effect of rail lubrication systems and the influence of atmospheric conditions, vehicle types and wheel conditions.
For this purpose, two long-term measurements of the noise emissions and the atmospheric conditions in similar curves of the same track (one with and another without rail lubrication) will be carried out. Due to the use of an algorithm for automatic detection of curve squealing a huge pool of data will be available to obtain meaningful results. Based on statistical analysis, the frequency of curve squeal noise occurrence, dependencies of influencing parameters and an optimization of lubrication usage will be derived.