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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Density Function of Noise Distribution as an Indicator for Identifying the Degree of Fault Growth in Sucker Rod Pumping Unit (SRPU)

Volumen 49, Ausgabe 4, 2017, pp. 1-11
DOI: 10.1615/JAutomatInfScien.v49.i4.10
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ABSTRAKT

We demonstrate that the distribution density function for the noise of a noisy random signal is the most comprehensive characteristic for identifying the initial period and the degree of fault growth. We develop algorithms and technologies to use this characteristic of the noise of the signal from the force transducer for preventing faults of sucker rod pumping units.

REFERENZIERT VON
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  2. Aliev Telman, Algorithms for Forming Correlation Matrices Equivalent to Matrices of Useful Signals in the Latent Period of Object’s Emergency State, in Noise Control of the Beginning and Development Dynamics of Accidents, 2019. Crossref

  3. Aliev T. A., Musaeva N. F., Gazizade B. I., Technologies for Monitoring the Dynamics of Damage Development in Drilling Rigs Using High-Order Moments of the Noise, Mekhatronika, Avtomatizatsiya, Upravlenie, 21, 4, 2020. Crossref

  4. Aliev T. A., Musaeva N. F., Suleymanova M. T., Algorithms for Constructing the Confidence Interval for the Mathematical Expectation of the Noise and their Application in the Control of the Dynamics of Accident Development, Mekhatronika, Avtomatizatsiya, Upravlenie, 21, 9, 2020. Crossref

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