An Intelligent System for Vibrodiagnostics of Oil and Gas Equipment

Abstract

An intelligent system for the diagnostics and monitoring of oil and gas equipment with a computerized device for identification measurements of vibration signals is described. The system operates based on the expert knowledgebases of the FRASH- and S-methods and the databases of tabulated quantitative and qualitative properties of objects. It has been shown that the temporal properties of the condition of objects and their autocorrelation functions are clearly described by identification parameters. The example of applying the intelligent technology of identification measurements to the vibration-based diagnostics of an HM 12500-210 no. 12 pump unit has shown that such diagnostics and monitoring is more efficient as it recognizes not only states that include groups of flaws with similar characteristics but also the flaws themselves. An instance of the intelligent computer-aided system for the diagnostics and monitoring of oil and gas equipment using modern information–communication technologies is presented.