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Title | Condition Monitoring of Kaplan Turbine Bearings Using Vibro-diagnostics |
Authors |
Monkova, K.
Monka, P.P. Hric, S. Kozak, D. Katinić, M. Pavlenko, Ivan Volodymyrovych Liaposhchenko, Oleksandr Oleksandrovych |
ORCID |
http://orcid.org/0000-0002-6136-1040 http://orcid.org/0000-0002-6657-7051 |
Keywords |
diagnostics vibration turbine bearing operating conditions діагностика вібрація турбіна підшипник умови роботи |
Type | Article |
Date of Issue | 2020 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/82618 |
Publisher | Universities and research institytions in India |
License | Creative Commons Attribution 4.0 International License |
Citation | Katarina Monkova, Peter P. Monka, Slavomir Hric, Drazan Kozak, Marko Katinić, Ivan Pavlenko, and Oleksandr Liaposchenko, "Condition Monitoring of Kaplan Turbine Bearings Using Vibro-diagnostics," International Journal of Mechanical Engineering and Robotics Research, Vol. 9, No. 8, pp.1182-1188, August 2020. DOI: 10.18178/ijmerr.9.8.1182-1188 |
Abstract |
Vibration diagnostics is an indispensable method
to evaluate the technical condition of machinery. If the
conditions of machines are regularly monitored, the
problems can be corrected even before they arise. The most
often overloaded components of the turbine are bearings
that similarly like other machinery are subject to
degradation wear. The article deals with the bearings´
condition of the Kaplan turbine. Within the research, the
frequencies at which maximum accelerations were achieved
and their impact on plant operation were observed. Time
records were converted to the frequency domain by means
of Fast Fourier Transformation and the records were
processed by means of filters. Acceleration peaks have
determined the frequencies responsible for the outer and
inner ring damages, but based on an evaluation of the
operating state of the bearing using Root Mean Square
(RMS) values could be concluded that that damage to any
part of the bearing is not demonstrable and the turbine is
operability. |
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File | Size | Format | Downloads |
---|---|---|---|
Pavlenko_turbine_2020_IJMERR.pdf | 1.82 MB | Adobe PDF | 216488255 |
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