Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Aleksandra Grzesiek"'
Publikováno v:
Sensors, Vol 21, Iss 24, p 8487 (2021)
Many real-world systems change their parameters during the operation. Thus, before the analysis of the data, there is a need to divide the raw signal into parts that can be considered as homogeneous segments. In this paper, we propose a segmentation
Externí odkaz:
https://doaj.org/article/f8aefad410e34a8daa42bd792750e216
Publikováno v:
Energies, Vol 14, Iss 17, p 5496 (2021)
In this paper, a heavy-duty loader operated in an underground mine is discussed. Due to extremely harsh operational conditions, an important maintenance problem is related to engine oil pressure. We have found that when the degradation process appear
Externí odkaz:
https://doaj.org/article/37deca1d0aac4f788396a16681622219
Publikováno v:
Sensors, Vol 20, Iss 19, p 5648 (2020)
Condition monitoring is a well-established field of research; however, for industrial applications, one may find some challenges. They are mostly related to complex design, a specific process performed by the machine, time-varying load/speed conditio
Externí odkaz:
https://doaj.org/article/5f4c1f9975864103a08ea5d5824f4a99
Publikováno v:
Journal of the Korean Statistical Society. 52:462-493
Publikováno v:
Journal of Computational and Applied Mathematics. 427:115131
Publikováno v:
International Journal of Advances in Engineering Sciences and Applied Mathematics. 13:394-414
Autor:
Aleksandra Grzesiek
Publikováno v:
International Journal of Advances in Engineering Sciences and Applied Mathematics. 13:191-205
In this paper, we examine the bidimensional time-constant autoregressive model of order 1 with $$\alpha $$ α -stable noise. We focus on the case of the triangular coefficients matrix for which one of the spatial components of the model simplifies to
Publikováno v:
Journal of Time Series Analysis. 41:785-807
Discrete‐time models with periodic behavior are useful for the description of different phenomenon. The most popular time series taking into consideration the periodicity of the real data is the periodic autoregressive moving average (PARMA) model.
Publikováno v:
Journal of Time Series Analysis. 41:454-475
Many real phenomena exhibit non‐Gaussian behavior. The non‐Gaussianity is manifested by impulsive behavior of the real data that can be found in both one‐dimensional and multi‐dimensional cases. Especially the multi‐dimensional datasets wit
Publikováno v:
Banach Center Publications. 122:133-157
In this paper, we consider a bidimensional autoregressive model of order 1 with $\alpha-$stable noise. Since in this case the classical measure of dependence known as the covariance function is not defined, the spatio-temporal dependence structure is