The paper presents the researches on the state of diesel locomotive engines before and after repair with using vibroacoustic signals. The paper describes the methodology, measurement range, the testing equipment and the main data on a locomotive and an engine which was used in acceleration measurements. The paper presents the results of signal analysis which covered the methods like FFT analysis, analysis of main statistical parameters, nonlinear and short-time methods, A nonlinear method presented in the paper is using dominant Lyapunov exponent as a diagnostic parameter. In a short-time analysis applied to vibroacoustic signals some parameters are calculated in a window sliding in time through the signal and next a clustering is perform in resulting parameter space. The first results have shown a significant difference between the values of the main parameters (both linear and nonlinear) for an engine before and after the repair.
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