Stochastic Modelling as a Tool for Seismic Signals Segmentation
Joint Authors
Obuchowski, Jakub
Zimroz, Radoslaw
Wylomanska, Agnieszka
Kucharczyk, Daniel
Madziarz, Maciej
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-08
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In order to model nonstationary real-world processes one can find appropriate theoretical model with properties following the analyzed data.
However in this case many trajectories of the analyzed process are required.
Alternatively, one can extract parts of the signal that have homogenous structure via segmentation.
The proper segmentation can lead to extraction of important features of analyzed phenomena that cannot be described without the segmentation.
There is no one universal method that can be applied for all of the phenomena; thus novel methods should be invented for specific cases.
They might address specific character of the signal in different domains (time, frequency, time-frequency, etc.).
In this paper we propose two novel segmentation methods that take under consideration the stochastic properties of the analyzed signals in time domain.
Our research is motivated by the analysis of vibration signals acquired in an underground mine.
In such signals we observe seismic events which appear after the mining activity, like blasting, provoked relaxation of rock, and some unexpected events, like natural rock burst.
The proposed segmentation procedures allow for extraction of such parts of the analyzed signals which are related to mentioned events.
American Psychological Association (APA)
Kucharczyk, Daniel& Wylomanska, Agnieszka& Obuchowski, Jakub& Zimroz, Radoslaw& Madziarz, Maciej. 2016. Stochastic Modelling as a Tool for Seismic Signals Segmentation. Shock and Vibration،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1119815
Modern Language Association (MLA)
Kucharczyk, Daniel…[et al.]. Stochastic Modelling as a Tool for Seismic Signals Segmentation. Shock and Vibration No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1119815
American Medical Association (AMA)
Kucharczyk, Daniel& Wylomanska, Agnieszka& Obuchowski, Jakub& Zimroz, Radoslaw& Madziarz, Maciej. Stochastic Modelling as a Tool for Seismic Signals Segmentation. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1119815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1119815