DOI: https://doi.org/10.15407/techned2017.04.079
RESEARCH OF EXCESS KURTOSIS SENSITIVENESS OF DIAGNOSTIC SIGNALS FOR CONTROL OF THE CONDITION OF THE ELECTROTECHNICAL EQUIPMENT
Journal |
Tekhnichna elektrodynamika |
Publisher |
Institute of Electrodynamics National Academy of Sciences of Ukraine |
ISSN |
1607-7970 (print), 2218-1903 (online) |
Issue |
No 4, 2017 (July/August) |
Pages |
79 – 85 |
Authors V.S. Beregun1*, A.I. Krasilnikov2 1 – National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», pr. Peremohy, 37, Kyiv, 03056, Ukraine, email:
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2 – Institute of Engineering Thermophysics of NAS of Ukraine, str. Zheliabova, 2a, Kyiv, 03057, Ukraine, email:
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*ORCID ID : http://orcid.org/0000-0002-6673-4491
Abstract
Expediency of use of diagnostic signals excess kurtosis for recognition of two conditions of control object is proved. On examples of typical symmetric distributions bigger sensitivity of excess kurtosis to difference of diagnostic signals distributions in comparison with an integrated metrics is confirmed. An algorithm is proposed and the minimum sample size of the diagnostic signal is calculated to estimate the excess kurtosis required to detect defects in the diagnosed object. Computer simulation of the excess kurtosis realizations of vibration of rolling bearings of electric machines is carried out. When carrying out the simulation, Student distribution was used as a test with different degrees of freedom, which confirmed the reliability of the results obtained. References 10, figures 5, tables 3.
Key words: control systems, vibration diagnostic signals, excess kurtosis, non-Gaussian distributions, rolling bearings of electric machines.
Received: 09.02.2017 Accepted: 24.04.2017 Published: 15.06.2017
References
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