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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i4.10
pages 1-11

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

Telman Abbas ogly Aliev
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)
Naila Fuad kyzy Musaeva
Azerbaijan University of Architecture and Construction, Baku (Azerbaijan)
Matanat Tair kyzy Suleymanova
Institute of Control Systems of National Academy of Sciences of Azerbaijan, Baku (Azerbaijan)

ABSTRACT

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.