Determining First Arrival Time of Elastic Wave by Machine Learning

SUWA Yuji, KO Simei, OBATA Takuya, NAKAGAWA Shinji, MORISHITA Ryoichi, SAWAYAMA Kazuki, TSUJI Takeshi

doi:10.14923/transinfj.2021skp0001

Bibliographic Information

Other Title

機械学習による弾性波速度測定実験の自動解析技術

Description

There is a task to determine first arrival time of an elastic wave traveled through rock sample in order to measure sound velocity of that sample whose data is used in analysis of underground stratum structures. That is a time-consuming task only specialists can do because a judgment based on experience is necessary for picking up a signal from noises. We developed an automated high-precision determination technique of first arrival time by using machine learning where U-net, ResNet, and attention mechanism are combined.

Journal

電子情報通信学会論文誌D 情報・システム

電子情報通信学会論文誌D 情報・システム J105-D (1), 52-59, 2022-01-01

The Institute of Electronics, Information and Communication Engineers

Keywords

Details 詳細情報について

CRID: 1390290537434452480

DOI: 10.14923/transinfj.2021skp0001

ISSN: 18810225; 18804535

Text Lang: ja

Article Type: journal article

Data Source

JaLC
KAKEN

Abstract License Flag: Disallowed

Export

Report a problem