![](/images/graphics-bg.png)
A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains
Joint Authors
Shimada, Hideki
Zhang, Mingwei
Meng, Qingbin
Liu, Shengdong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-19
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
To reduce noise components from original microseismic waves, a comprehensive fine signal processing approach using the integrated decomposition analysis of the wave duration, frequency spectrum, and wavelet coefficient domain was developed and implemented.
Distribution regularities of the wave component and redundant noise on the frequency spectrum and the wavelet coefficient domain were first expounded.
The frequency threshold and wavelet coefficient threshold were determined for the identification and extraction of the effective wave component.
The frequency components between the reconstructed microseismic wave and the original measuring signal were compared.
The noise elimination effect via the scale-changed domain decomposition was evaluated.
Interaction between the frequency threshold and the wavelet coefficient threshold in the time domain was discussed.
The findings reveal that tri-domain decomposition analysis achieves the precise identification and extraction of the effective microseismic wave component and improves the reliability of waves by eliminating the redundant noise.
The frequency threshold and the wavelet coefficient threshold on a specific time window are two critical parameters that determine the degree of precision for the identification of the extracted wave component.
This research involves development of the proposed integrated domain decomposition method and provides a diverse view on the fine processing of the microseismic signal.
American Psychological Association (APA)
Zhang, Mingwei& Meng, Qingbin& Liu, Shengdong& Shimada, Hideki. 2017. A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains. Shock and Vibration،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1204363
Modern Language Association (MLA)
Zhang, Mingwei…[et al.]. A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains. Shock and Vibration No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1204363
American Medical Association (AMA)
Zhang, Mingwei& Meng, Qingbin& Liu, Shengdong& Shimada, Hideki. A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains. Shock and Vibration. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1204363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204363