Remote monitoring and predictive analytics of the technical condition of gas pumping units
UDC: 622.691.4
DOI: -
Authors:
BUDZULYAK BOGDAN V.
1,
LOPATIN ALEXEY S.
2,
LYAPICHEV DMITRY M.
2
1 Association of Builders of Gas and Oil Complexes, Moscow, Russian Federation
2 National University of Oil and Gas “Gubkin University”, Moscow, Russian Federation
Keywords: gas pumping unit, technical condition monitoring, predictive analytics, trend control, time series, monitoring system
Annotation:
The article is devoted to the methodology of comprehensive monitoring of the technical condition of gas pumping units using continuous data collection and predictive analytics methods. Traditional integral indicators of condition assessment (technical condition coefficients of gas turbine units and centrifugal compressors) are considered, and their limitations for diagnosing latent degradation processes are identified. An extended set of individual diagnostic parameters (vibration, temperature, and pressure parameters) is proposed, analyzed using modern time-series processing methods, including spectral analysis, wavelet transforms, machine learning methods, and anomaly statistical analysis. The architecture of multi-level monitoring systems is described, which ensures the solution of tasks from operational equipment management to strategic maintenance planning and optimization of operating modes of the Unified Gas Supply System.
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