An Intelligent System for Vibrodiagnostics of Oil and Gas Equipment
| Autor: | G. V. Savostina, N. N. Sof’ina, K. T. Koshekov, Sergey Latypov, A. K. Koshekov, A. A. Kashevkin, Yu. N. Klikushin |
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| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Mechanical Engineering Autocorrelation Fossil fuel Control engineering 02 engineering and technology Condensed Matter Physics 01 natural sciences Vibration Identification (information) Mechanics of Materials 0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science business 010301 acoustics |
| Zdroj: | Russian Journal of Nondestructive Testing. 54:249-259 |
| ISSN: | 1608-3385 1061-8309 |
| DOI: | 10.1134/s1061830918040071 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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