Advanced structural health monitoring of concrete structures with the aid of acoustic emission
This article gives a comprehensive review of the acoustic emission (AE) technique for its
applications in concrete structure health monitoring. Basic and established condition …
applications in concrete structure health monitoring. Basic and established condition …
A review and appraisal of arrival-time picking methods for downhole microseismic data
We have evaluated arrival-time picking algorithms for downhole microseismic data. The
picking algorithms that we considered may be classified as window-based single-level …
picking algorithms that we considered may be classified as window-based single-level …
[HTML][HTML] 基于深度学习卷积神经网络的地震波形自动分类与识别
赵明， 陈石 - 地球物理学报, 2019 - html.rhhz.net
发展高效, 高精度, 普适性强的自动波形拾取算法在地震大数据时代背景下显得越来越重要.
波形自动拾取算法的主要挑战来自如何适应不同区域的不同类型地震事件的分类与筛选 …
波形自动拾取算法的主要挑战来自如何适应不同区域的不同类型地震事件的分类与筛选 …
Earthquake detection through computationally efficient similarity search
Seismology is experiencing rapid growth in the quantity of data, which has outpaced the
development of processing algorithms. Earthquake detection—identification of seismic …
development of processing algorithms. Earthquake detection—identification of seismic …
Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform
SM Mousavi, CA Langston, SP Horton - Geophysics, 2016 - library.seg.org
Typical microseismic data recorded by surface arrays are characterized by low signal-to-
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …
noise ratios (S/Ns) and highly nonstationary noise that make it difficult to detect small events …
Automatic microseismic event picking via unsupervised machine learning
Y Chen - Geophysical Journal International, 2020 - academic.oup.com
Effective and efficient arrival picking plays an important role in microseismic and earthquake
data processing and imaging. Widely used short-term-average long-term-average ratio …
data processing and imaging. Widely used short-term-average long-term-average ratio …
Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning
Recent years have witnessed a clear trend to develop deeper and longer tunnels to meet
the growing needs of mining. Micro-seismic events location is vital for predicting and …
the growing needs of mining. Micro-seismic events location is vital for predicting and …
Detection and location of partial discharges in power transformers using acoustic and electromagnetic signals
SM Markalous, S Tenbohlen… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
The measurement of partial discharges (PD) is a non-destructive and sensitive diagnostic
tool for the condition assessment of insulating systems. Two major tasks of PD …
tool for the condition assessment of insulating systems. Two major tasks of PD …
Hydraulic fracturing induced seismicity in the southern Sichuan Basin due to fluid diffusion inferred from seismic and injection data analysis
Abstract In the southern Sichuan Basin, China, the recent increase in the seismic activity has
been suspected to be related to hydraulic fracturing stimulation for producing the shale gas …
been suspected to be related to hydraulic fracturing stimulation for producing the shale gas …
Strategies for reliable automatic onset time picking of acoustic emissions and of ultrasound signals in concrete
JH Kurz, CU Grosse, HW Reinhardt - Ultrasonics, 2005 - Elsevier
Determining the onset of transient signals like seismograms, acoustic emissions or
ultrasound signals is very time consuming if the onset is picked manually. Therefore …
ultrasound signals is very time consuming if the onset is picked manually. Therefore …