| 3rd All-Russian Scientific and Practical Conference on Innovations in Non-Destructive Testing | |
| The Vibration Monitoring of the Gascompressor Units with Application of Hurst's Statistics | |
| Zakharov, O.V.^1 ; Novichkov, S.V.^2 ; Kochetkov, A.V.^3 | |
| Designing Technical and Technological Complexes Department, Yuri Gagarin State Technical University, Saratov, Russia^1 | |
| Energy Department, Yuri Gagarin State Technical University, Saratov, Russia^2 | |
| Perm National Research Polytechnic University, Perm, Russia^3 | |
| 关键词: Economic efficiency; Fast Fourier transformations; Internal and external factors; Noisy observations; Operating time; Statistical assessment; Vibration monitoring; Vibration signal; | |
| Others : https://iopscience.iop.org/article/10.1088/1742-6596/671/1/012063/pdf DOI : 10.1088/1742-6596/671/1/012063 |
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| 来源: IOP | |
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【 摘 要 】
The gascompressor units work in the unsteady regime which depends on many internal and external factors. For the solution of problems of control, management and forecasting the statistical assessment of a condition of object in real time according to noisy observations of one realization of stochastic process is carried out. The traditional spectral analysis on the basis of Fast Fourier Transformation in this case is inefficient if time scale is much less than duration, which is subject to the analysis. Therefore for monitoring of a condition of the equipment it is offered to use Hurst's statistics by means of which it is possible to investigate quantitatively law of development of a vibration signal and unambiguously to analyze a condition of the gascompressor units. Calculation of economic efficiency from introduction of such technology of monitoring will provide decrease on average by 2.5% of a consumption of gas and specific costs of capital repairs of the gascompressor units at the expense of increase in a total operating time by 20%.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| The Vibration Monitoring of the Gascompressor Units with Application of Hurst's Statistics | 1050KB |
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