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A Synthetic Solution for Identification and Extraction of the Effective Microseismic Wave Component Using Decomposition on Time, Frequency, and Wavelet Coefficient Domains
المؤلفون المشاركون
Shimada, Hideki
Zhang, Mingwei
Meng, Qingbin
Liu, Shengdong
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-19
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1204363
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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