Abstract
Some peculiarities of constructing information channels, which are a part of multilevel information-measuring systems for diagnostics of electrical equipment, are considered. The primary attention in the report is paid to the consideration of primary diagnostic information measurement channels, as well as the block of training aggregates, where the infor-mation about defects and possible modes of operation of some electrical equipment units is stored. One of the possible options for building a primary measurement channel focused on using wireless measurement sensors, which are consis-tent with the use of international standards, has been considered. The description of diagnostic features for determining the technical condition and classification of possible defects in individual nodes of electrical equipment concerning their modes of operation is briefly described. Based on accepted diagnostic attributes, the models of representation of training sets, which correspond to different technical states of electrical equipment units for different modes of opera-tion, are considered. Ref. 10, fig. 3.
Publisher
National Academy of Sciences of Ukraine (Co. LTD Ukrinformnauka) (Publications)
Reference10 articles.
1. Myslovych M.V., Sysak R.M. About some features of construction of intellectual multilevel systems of technical diagnostics of electric power objects. Tekhnichna Elektrodynamika. 2015. No 1. Pp. 78-85.
2. Hertsyk S.M. Computerized system for diagnostics of electrical equipment components, taking into account its modes of operation. Kyiv: In-t of elektrodymamik of Ukranian Academy of Scienсes. Abstract of the dissertation for the de-gree of Candidate of Technical Sciences in specialty 05.13.05 - Computer systems and components. 2019. 20 p.
3. Gungor V.C., Bin Lu, Hancke G.P. Opportunities and Challenges of Wireless Sensor Networks in Smart Grid. IEEE Transactions on industrial electronics. 2010. Vol. 57. No 10. Pp. 3557-3564. DOI: https://doi.org/10.1109/TIE.2009.2039455
4. Ilyin V.V. Introduction to Smart Grid. AVOK. 2012. No 7. Pp. 76-86.
5. Babak S.V., Myslovych M.V., Sysak R.M. Statistical diagnostics of electrical equipment. Kyiv: Institute of elec-trodymamiks of Ukranian Academy of Scienсes. 2015. 456 p.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献