Assessment of the state of technical objects by the parameters of vibration signals and their trends

Abstract

The state of observed technical objects is determined by parameters and characteristics. When analyzing the vibration state of a mechanism or unit, the primary characteristics are the vibration signals recorded on its bearings or housings. As a result of their processing and transformations, informatively significant parameters and characteristics are obtained. An approach based on the use of decision functions is proposed, which differs in that they are applied in relation to both the primary informative-significant parameters of vibration signals and the results of statistical processing of time trends of primary parameters. RMS trends, turnover components, crest factor, kurtosis, asymptotes, RMS trends in narrow frequency bands are processed. Examples of decisive functions and results of processing real vibration signals are given. This approach allows you to automate the process of making a decision about the state of the controlled object and issuing recommendations for its technical maintenance.