Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Valentin Arkov"'
Autor:
Valentin Arkov
Publikováno v:
2021 International Conference on Electrotechnical Complexes and Systems (ICOECS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::879acddd7ab1b65e8ef94547dbf358c1
https://doi.org/10.1109/icoecs52783.2021.9657299
https://doi.org/10.1109/icoecs52783.2021.9657299
Publikováno v:
Automatica. 39:661-668
An optimisation approach to dynamic model identification is considered for frequency-response techniques. Identification accuracy is provided via optimal spectral resolution using a priori information. The optimal resolution is sought at each frequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7cd86e27f41f89f501deb39ed72dea2
https://doi.org/10.1016/s0005-1098(02)00277-7
https://doi.org/10.1016/s0005-1098(02)00277-7
Publikováno v:
IFAC Proceedings Volumes. 35:55-60
In this paper, dynamic modelling of gas turbines is analysed in two aspects, or two dimensions. First, support of the life cycle of the engine and its control system represents a time domain perspective. Second, the concept of unified information spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::674f1234f43bc4d84ec6d54ddfb6ef51
https://doi.org/10.3182/20020721-6-es-1901.00915
https://doi.org/10.3182/20020721-6-es-1901.00915
Publikováno v:
IFAC Proceedings Volumes. 33:23-28
An optimisation approach to dynamic model identification is considered using frequency response techniques. Identification accuracy is provided via optimal spectral resolution using a priori information. Conventional spectral analysis is compared wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eb6d8dbe242023d1f0d872355554147
https://doi.org/10.1016/s1474-6670(17)39597-6
https://doi.org/10.1016/s1474-6670(17)39597-6
Publikováno v:
IFAC Proceedings Volumes. 33:29-34
An application of evolutionary optimization techniques is considered for the dynamic model identification of gas turbine engines. First, the parameters of the test signal are optimally chosen to meet the experiment design specifications. Second, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc93285580cffbaa8ef16483ebb86d17
https://doi.org/10.1016/s1474-6670(17)39598-8
https://doi.org/10.1016/s1474-6670(17)39598-8
Publikováno v:
IFAC Proceedings Volumes. 31:161-165
This paper focuses on real-time simulation for gas turbine engine condition monitoring. The problem under investigation is to design a method for non-parametric modelling of a gas turbine engine as a non-linear stochastic system using input-output re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba9355f316439381a75b42695cee5842
https://doi.org/10.1016/s1474-6670(17)42151-3
https://doi.org/10.1016/s1474-6670(17)42151-3
Publikováno v:
IFAC Proceedings Volumes. 30:67-71
Model-based engine condition monitoring systems for the gas turbine engine are investigated. Real engine data is used to build linear and nonlinear models. Single input single output model is obtained for a single engine operating point. This model i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bee1359fe1d20f24c5151a92b432fb43
https://doi.org/10.1016/s1474-6670(17)42382-2
https://doi.org/10.1016/s1474-6670(17)42382-2
Publikováno v:
IFAC Proceedings Volumes. 30:319-323
A novel intelligent simulation technique is proposed for testing of automatic control systems. The technique combines fuzzy reasoning and Markov modelling for stochastic system simulation purposes. A learning problem is also discussed with an example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a77865e377c85e2ae314f4e8b9da103
https://doi.org/10.1016/s1474-6670(17)42741-8
https://doi.org/10.1016/s1474-6670(17)42741-8
Publikováno v:
1997 1st International Conference, Control of Oscillations and Chaos Proceedings (Cat. No.97TH8329).
This paper focuses on a modeling approach being investigated for chaotic and stochastic dynamic systems. A novel approach of applying Markov chains to these systems is proposed. Equivalent transformation from the Markov model to a parametric model is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::023778f41570b2023b173470b84b14ad
https://doi.org/10.1109/coc.1997.626652
https://doi.org/10.1109/coc.1997.626652
Publikováno v:
Scopus-Elsevier
This paper focuses on the two general approaches being investigated for condition monitoring systems: static pattern analysis approach and the dynamical systems approach. In each, statistical and neural network methods are used. The dynamical systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cad525ad676e3f74f4f353c0a68f504d
https://doi.org/10.1049/ic:19961371
https://doi.org/10.1049/ic:19961371