[319] Vibration jerk as a parameter for condition monitoring of electric trains
A Kostyukov and S Boychenko
SPC Dynamics, Russia
Currently, the main technique used for the detection of machinery defects, including defects of electric trains, is vibration analysis. The most common solution for determining the type of defect is an analysis of the vibration signal spectrum measured at the machinery’s body. However, the spectrum analysis requires precise information on machinery construction and operational procedures. When such information is unavailable or insufficient, modern AI systems use diagnostic parameter-based rules invariant to the construction and operational procedures of the machinery. That ensures high reliability of diagnostic results. The paper considers possible applications of such diagnostic signs of vibration parameters as jerk in machinery diagnostics. It reveals the results of the study of correlation between the vibration acceleration and jerk, showing their independence and applicability for diagnostics of machinery, such as electric trains.
