Abstract
Features of the construction and practical application of multi-level information and measurement systems for monitoring and diagnostics of electrical equipment are considered. The results of the construction and research of mathematical models of some diagnostic signals (acoustic emission, vibrations) accompanying the operation of electrical equipment units (including powerful generators) are given. Improved mathematical models of vibrational information-diagnostic signals are proposed, taking into account both the properties of diagnostic objects and the modes in which such equipment works. According to the results of the analysis of mathematical models of the considered information signals, a number of diagnostic signs are theoretically justified, which allows monitoring and establishing the technical condition of individual generator nodes. As illustrative examples, the use of acoustoemission and vibration diagnostic signals for the formation of training sets, which are part of a multi-level information and measurement system for monitoring and diagnostics of electrical equipment, is considered. The information base obtained at the experimental test stands of the IED of the National Academy of Sciences of Ukraine was used to form such educational groups. It is pointed out the need to take into account the influence of temperature and humidity on the assessment of diagnostic signs during monitoring and diagnostics of electrical equipment. Bible 26, fig. 8. Keywords: vibration and acoustic emission diagnostic signals, electrical equipment, monitoring and diagnostics system.
Publisher
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
Reference26 articles.
1. Myslovych M.V., Sysak R.M. About some features of the construction of intelligent multi-level systems of technical diagnostics of electric power facilities. Tekhnichna elektrodynamika. 2015. No. 1. Pp. 78-85. (Ukr)
2. Sysak R.M. Optimization of algorithmic software of autonomous measuring modules of distributed diagnostic systems. Tekhnichna elektrodynamika. 2018. No 3. Pp. 90-96. (Ukr)
3. Myslovych M.V. Models of forms of representation of learning populations for multi-level systems of diagnosing electrical equipment nodes. Tekhnichna elektrodynamika. 2021. No 3. Pp. 65-73. (Ukr)
4. Stogniy B.S., Kirylenko O.V., Butkevich O.F., Sopel M.F. Information provision of power system management tasks. Energy: economy, technologies, ecology. 2012. No 1. Pp. 13-22. (Ukr)
5. Stogniy B.S., Kirylenko O.V., Prakhovnyk A.V., Denisyuk S.P. Evolution of intelligent electrical networks and their prospects in Ukraine. Tekhnichna elektrodynamika. 2012. No 5. Pp. 52-67. (Ukr)