Passing rail vehicles generate vibrations and noise. In most studies, these phenomena are analyzed in terms of impact on people, the environment and railway infrastructure. However, using the vibroacoustic methodology, generated vibration and noise signals can be treated as information carriers. The vast majority of publications in the field of vibroacoustics analyze the usability of signals to determine the technical condition of machines and systems. For many years Professor Rafał Burdzik has been conducting research in the area of vibration and noise propagation analysis in means of transport. As a result of this work, a new research hypothesis was developed as the ability to identify a vehicle or trainset based on recorded images of vibroacoustic signals. The article presents the results of preliminary tests, during which rail vibrations were recorded in three orthogonal axes and acoustic pressure signals in the axis perpendicular to the railway route.
Research of vibroacoustic signals in diagnostics of technical condition of engines of beet harvesters combines
