Multifunctional analysis of long realizations of vibration signals

Abstract

Modern computer or embedded systems make it possible to obtain long (tens of seconds, minutes, hours, days) realizations of vibration signals, which continuously reflect the vibration state of the investigated mechanism in different modes of operation. Received large amounts of data are subject to rapid automated processing, to provide the user with the required information and the formulation of conclusions about changes in the technical state of the controlled object. The decomposition into periodic and noise-like components, wavelet analysis, Hilbert-Huang transform, as methods of primary transformation of initial vibration signals and representing it as a composition of components. The next step is to determine the values of the parameters of the obtained components of the expansions and plotting time trends of the calculated parameters. Next, assess the changes in the parameters of the components and their time trends and make decisions on the technical condition of the monitored technical object.