Seismology ≈ SeismologySeismology
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Global fatal landslide occurrence from 2004 to 2016 Open
Landslides are a ubiquitous hazard in terrestrial environments with slopes, incurring human fatalities in urban settlements, along transport corridors and at sites of rural industry. Assessment of landslide risk requires high-quality lands…
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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals Open
Intelligent fault diagnosis techniques have replaced time-consuming and unreliable human analysis, increasing the efficiency of fault diagnosis. Deep learning models can improve the accuracy of intelligent fault diagnosis with the help of …
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Journal of Geophysical Research: Solid Earth Open
A series of deformation tests was performed on samples from natural xenoliths and dunites with well-defined textures and microstructures. The rock samples were deformed perpendicular to the foliation, 45° to the foliation, and parallel to …
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Ocean Basin Evolution and Global-Scale Plate Reorganization Events Since Pangea Breakup Open
We present a revised global plate motion model with continuously closing plate boundaries ranging from the Triassic at 230 Ma to the present day, assess differences among alternative absolute plate motion models, and review global tectonic…
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PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method Open
As the number of seismic sensors grows, it is becoming increasingly difficult for analysts to pick seismic phases manually and comprehensively, yet such efforts are fundamental to earthquake monitoring. Despite years of improvements in aut…
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Present‐Day Crustal Deformation of Continental China Derived From GPS and Its Tectonic Implications Open
We process rigorously GPS data observed during the past 25 years from continental China to derive site secular velocities. Analysis of the velocity solution leads to the following results. (a) The deformation field inside the Tibetan plate…
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Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking Open
Earthquake signal detection and seismic phase picking are challenging tasks in the processing of noisy data and the monitoring of microearthquakes. Here we present a global deep-learning model for simultaneous earthquake detection and phas…
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Grid-Forming Converters: Control Approaches, Grid-Synchronization, and Future Trends—A Review Open
In the last decade, the concept of grid-forming (GFM) converters has been introduced for microgrids and islanded power systems. Recently, the concept has been proposed for use in wider interconnected transmission networks, and several cont…
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Convolutional neural network for earthquake detection and location Open
ConvNetQuake is the first neural network for detection and location of earthquakes from seismograms.
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Earthquake‐Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts Open
Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate‐ and large‐magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to mass…
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Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox Open
This paper proposes a novel intelligent fault diagnosis method to automatically identify different health conditions of wind turbine (WT) gearbox. Unlike traditional approaches, where feature extraction and classification are separately de…
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Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review Open
In this survey paper, we systematically summarize existing literature on\nbearing fault diagnostics with machine learning (ML) and data mining\ntechniques. While conventional ML methods, including artificial neural network\n(ANN), principa…
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GPlates: Building a Virtual Earth Through Deep Time Open
GPlates is an open‐source, cross‐platform plate tectonic geographic information system, enabling the interactive manipulation of plate‐tectonic reconstructions and the visualization of geodata through geological time. GPlates allows the bu…
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Human-level performance in 3D multiplayer games with population-based reinforcement learning Open
Artificial teamwork Artificially intelligent agents are getting better and better at two-player games, but most real-world endeavors require teamwork. Jaderberg et al. designed a computer program that excels at playing the video game Quake…
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A Global Plate Model Including Lithospheric Deformation Along Major Rifts and Orogens Since the Triassic Open
Global deep‐time plate motion models have traditionally followed a classical rigid plate approach, even though plate deformation is known to be significant. Here we present a global Mesozoic–Cenozoic deforming plate motion model that captu…
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Illuminating seafloor faults and ocean dynamics with dark fiber distributed acoustic sensing Open
Marine observations with optics Placing sensors on the seafloor is difficult, but a sensor network has huge potential for observing processes occurring both below and above the seafloor. Lindsey et al. measured acoustic vibrations collecte…
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Global review of human-induced earthquakes Open
The Human-induced Earthquake Database, HiQuake, is a comprehensive record of earthquake sequences postulated to be induced by anthropogenic activity. It contains over 700 cases spanning the period 1868–2016. Activities that have been propo…
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The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal Open
Coseismic landslides pose immediate and prolonged hazards to mountainous communities, and provide a rare opportunity to study the effect of large earthquakes on erosion and sediment budgets. By mapping landslides using high-resolution sate…
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Protection challenges under bulk penetration of renewable energy resources in power systems: A review Open
Among different sources of alternate energy, wind and solar are two prominent and promising alternatives to meet the future electricity needs for mankind. Generally, these sources are integrated at the distribution utilities to supply the …
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Power system protection Open
This report provides review of importance of power system protection and presents different techniques available in practical situations. The material provided in this report is available online on different resources. Moreover, this repor…
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Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review Open
A smart factory is a highly digitized and connected production facility that relies on smart manufacturing. Additionally, artificial intelligence is the core technology of smart factories. The use of machine learning and deep learning algo…
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Failure mechanism and coupled static-dynamic loading theory in deep hard rock mining: A review Open
Rock failure phenomena, such as rockburst, slabbing (or spalling) and zonal disintegration, related to deep underground excavation of hard rocks are frequently reported and pose a great threat to deep mining. Currently, the explanation for…
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A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning Open
Digital twin is a significant way to achieve smart manufacturing, and provides a new paradigm for fault diagnosis. Traditional data-based fault diagnosis methods mostly assume that the training data and test data are following the same dis…
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Generalized Seismic Phase Detection with Deep Learning Open
To optimally monitor earthquake‐generating processes, seismologists have sought to lower detection sensitivities ever since instrumental seismic networks were started about a century ago. Recently, it has become possible to search continuo…
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<i>P</i> Wave Arrival Picking and First‐Motion Polarity Determination With Deep Learning Open
Determining earthquake hypocenters and focal mechanisms requires precisely measured P wave arrival times and first‐motion polarities. Automated algorithms for estimating these quantities have been less accurate than estimates by human expe…
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The November 2017 <i>M</i> <sub>w</sub> 5.5 Pohang earthquake: A possible case of induced seismicity in South Korea Open
Triggering quakes in a geothermal space Enhanced geothermal systems (EGSs) provide a potentially clean and abundant energy source. However, two magnitude-5 earthquakes recently occurred in South Korea during EGS site development. Grigoli e…
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Fiber‐Optic Network Observations of Earthquake Wavefields Open
Our understanding of subsurface processes suffers from a profound observation bias: seismometers are sparse and clustered on continents. A new seismic recording approach, distributed acoustic sensing (DAS), transforms telecommunication fib…
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Seismic Signal Denoising and Decomposition Using Deep Neural Networks Open
Denoising and filtering are widely used in routine seismic-data-processing to\nimprove the signal-to-noise ratio (SNR) of recorded signals and by doing so to\nimprove subsequent analyses. In this paper we develop a new\ndenoising/decomposi…
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Distributed sensing of microseisms and teleseisms with submarine dark fibers Open
Sparse seismic instrumentation in the oceans limits our understanding of deep Earth dynamics and submarine earthquakes. Distributed acoustic sensing (DAS), an emerging technology that converts optical fiber to seismic sensors, allows us to…
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Preprocessing-Free Gear Fault Diagnosis Using Small Datasets With Deep Convolutional Neural Network-Based Transfer Learning Open
Early fault diagnosis in complex mechanical systems such as gearbox has\nalways been a great challenge, even with the recent development in deep neural\nnetworks. The performance of a classic fault diagnosis system predominantly\ndepends o…