The method of trend analysis of parameters time series of gas-turbine engine state

Hvozdeva, I.; Myrhorod, V.; Derenh, Y.

dc.contributor.author	Hvozdeva, I.
dc.contributor.author	Myrhorod, V.
dc.contributor.author	Derenh, Y.
dc.date.accessioned	2017-10-31T10:25:33Z
dc.date.available	2017-10-31T10:25:33Z
dc.date.issued	2017
dc.identifier.citation	The method of trend analysis of parameters time series of gas-turbine engine state. I. Hvozdeva, V. Myrhorod, and Y. Derenh. AIP Conference Proceedings 1895, 030002 (2017); P. 1-9	en
dc.identifier.citation	Hvozdeva, I. The method of trend analysis of parameters time series of gas-turbine engine state / I. Hvozdeva, V. Myrhorod, Y. Derenh // AIP Conference Proceedings. - 2017. - Vol. 1895, № 030002. P. 1-9
dc.identifier.uri	10.1063/1.5007361
dc.identifier.uri	http://aip.scitation.org/doi/pdf/10.1063/1.5007361
dc.identifier.uri	http://dspace.opu.ua/jspui/handle/123456789/6052
dc.description.abstract	This research substantiates an approach to interval estimation of time series trend component. The well-known methods of spectral and trend analysis are used for multidimensional data arrays. The interval estimation of trend component is proposed for the time series whose autocorrelation matrix possesses a prevailing eigenvalue. The properties of time series autocorrelation matrix are identified.	en
dc.language.iso	en_US	en
dc.publisher	American Institute of Physics	en
dc.title	The method of trend analysis of parameters time series of gas-turbine engine state	en
dc.type	Article	en
opu.kafedra	Кафедра інформаційних систем
opu.citation.journal	AIP Conference Proceedings	en
opu.citation.volume	1895	en
opu.citation.firstpage	1	en
opu.citation.lastpage	9	en
opu.citation.conference	APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES: 9th International Conference for Promoting the Application of Mathematics in Technical and Natural Sciences - AMiTaNS’17	en
opu.citation.issue	030002	en
opu.staff.id	myrhorod@opu.ua	en
opu.conference.dates	21–26 June 2017	en