Seismic Fault Identification Based on Multi-Scale Dense Convolution and Improved Long Short-Term Memory Network

Seismic Fault Identification Based on Multi-Scale Dense Convolution and Improved Long Short-Term Memory Network

Aiming at the local, global and temporal morphological characteristics of faults in seismic profiles, this paper proposes the MCD-ABiLSTM method for fault identification. The method uses multi-channel, convolution kernels of different sizes and convolution of different depths to extract multi-scale...

Full description

Bibliographic Details
Main Authors:	Liang Guo, Ran Xiong, Jilong Zhao, Hui Wang, Zhao Chen, Xuan Zou
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Deep learning LSTM ABiLSTM MCD seismic fault identification
Online Access:	https://ieeexplore.ieee.org/document/10301494/

Similar Items

Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method
by: Qinghua Wang, et al.
Published: (2021-06-01)

Fault Diagnosis of Motor Bearings Based on a Convolutional Long Short-Term Memory Network of Bayesian Optimization
by: Zhen Li, et al.
Published: (2021-01-01)

A Temporal Convolutional Network–Bidirectional Long Short-Term Memory (TCN-BiLSTM) Prediction Model for Temporal Faults in Industrial Equipment
by: Jinyin Bai, et al.
Published: (2025-02-01)

Development of an Intelligent Detection Method of DC Series Arc Fault in Photovoltaic System Using Multilayer Perceptron and Bi-Directional Long Short-Term Memory
by: Alaa Hamza Omran, et al.
Published: (2023-08-01)

Identification of Inrush Current and Fault Current Based on Long Short-Term Memory Neural Network
by: ZHANG Guodong, LIU Kai, PU Haitao, YAO Fuqiang, ZHANG Shuaishuai
Published: (2024-05-01)

Fault Detection and Diagnosis for Liquid Rocket Engines Based on Long Short-Term Memory and Generative Adversarial Networks
by: Lingzhi Deng, et al.
Published: (2022-07-01)

The Short Time Prediction of the Dst Index Based on the Long-Short Time Memory and Empirical Mode Decomposition–Long-Short Time Memory Models
by: Jinyuan Zhang, et al.
Published: (2023-10-01)

A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions
by: Zilong Zhuang, et al.
Published: (2019-05-01)

Stock Market Index Prediction using Bi-directional Long Short-Term Memory
by: Muhammad Althaf Majid, et al.
Published: (2024-07-01)

Optimization of Variational Mode Decomposition-Convolutional Neural Network-Bidirectional Long Short Term Memory Rolling Bearing Fault Diagnosis Model Based on Improved Dung Beetle Optimizer Algorithm
by: Weiqing Sun, et al.
Published: (2024-07-01)

Motor Bearing Failure Identification Using Multiple Long Short-Term Memory Training Strategies
by: Youcef ATMANI, et al.
Published: (2024-10-01)

Research on Seismic Phase Recognition Method Based on Bi-LSTM Network
by: Li Wang, et al.
Published: (2024-08-01)

Short-term prediction of wind power density using convolutional LSTM network
by: Gupta Deepak, et al.
Published: (2021-01-01)

Gait-Based Human Identification by Combining Shallow Convolutional Neural Network-Stacked Long Short-Term Memory and Deep Convolutional Neural Network
by: Ganbayar Batchuluun, et al.
Published: (2018-01-01)

GAN-LSTM Joint Network Applied to Seismic Array Noise Signal Recognition
by: Jian Li, et al.
Published: (2021-10-01)

Data-Driven Fault Detection of Multiple Open-Circuit Faults for MMC Systems Based on Long Short-Term Memory Networks
by: Chenxi Fan, et al.
Published: (2024-01-01)

Fault Detection and Identification Method for Quadcopter Based on Airframe Vibration Signals
by: Xiaomin Zhang, et al.
Published: (2021-01-01)

The seismicity in the middle section of the Altyn Tagh Fault system revealed by a dense nodal seismic array
by: Shi Yao, et al.
Published: (2024-07-01)

Integration of gradient least mean squares in bidirectional long short-term (LSTM) memory networks for metallurgical bearing ball fault diagnosis
by: X. F. Tang, et al.
Published: (2024-01-01)

Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder
by: Md. Nazmul Hasan, et al.
Published: (2024-09-01)

Fault Diagnosis of a Switch Machine to Prevent High-Speed Railway Accidents Combining Bi-Directional Long Short-Term Memory with the Multiple Learning Classification Based on Associations Model
by: Haixiang Lin, et al.
Published: (2023-11-01)

Enhancement of Coronary Heart Disease Prediction using Stacked Long Short Term Memory
by: Cinthiya Cinthiya, et al.
Published: (2023-06-01)

A Fault Diagnosis Method under Data Imbalance Based on Generative Adversarial Network and Long Short-Term Memory Algorithms for Aircraft Hydraulic System
by: Kenan Shen, et al.
Published: (2023-02-01)

A Novel Data-Driven Approach with a Long Short-Term Memory Autoencoder Model with a Multihead Self-Attention Deep Learning Model for Wind Turbine Converter Fault Detection
by: Joel Torres-Cabrera, et al.
Published: (2024-08-01)

IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
by: Muhammad Asif Nauman, et al.
Published: (2023-09-01)

Daily rainfall prediction using long short-term memory (LSTM) algorithm
by: B SUDARSAN PATRO, et al.
Published: (2024-12-01)

Time Series Analysis of Cryptocurrency Prices Using Long Short-Term Memory
by: Jacques Phillipe Fleischer, et al.
Published: (2022-07-01)

FAULT DIAGNOSIS OF WIND TURBINE BEARING BASED ON SENET-RESNEXT-LSTM
by: DU HaoFei, et al.
Published: (2023-12-01)

Flywheel Fault Prediction Algorithm Based on Improved Filter and LSTM Fusion
by: Long Dizhi, Chen Xin, Wei Bingyi, Shi Chao
Published: (2024-06-01)

Research on Distributed Fault Diagnosis Model of Elevator Based on PCA-LSTM
by: Chengming Chen, et al.
Published: (2024-06-01)

Damage Location Diagnosis of Frame Structure Based on a Novel Convolutional Neural Network
by: Hui Xu, et al.
Published: (2022-12-01)

Convolutional long short-term memory neural network for groundwater change prediction
by: Sumriti Ranjan Patra, et al.
Published: (2024-11-01)

Deep convolutional long short-term memory for forecasting wind speed and direction
by: Anggraini Puspita Sari, et al.
Published: (2021-06-01)

Research on Bearing Fault Diagnosis Method Based on Filter Features of MOMLMEDA and LSTM
by: Yong Li, et al.
Published: (2019-10-01)

Synthetic seismicity for the San Andreas fault
by: S. N. Ward, et al.
Published: (1994-06-01)

Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data
by: Xiaoguang Zhang, et al.
Published: (2023-06-01)

Spoken Language Identification System Using Convolutional Recurrent Neural Network
by: Adal A. Alashban, et al.
Published: (2022-09-01)

Long-short term memory networks aided fault detection of power facilities
by: Qingchuan Wu, et al.
Published: (2024-06-01)

Bearing fault diagnosis with parallel CNN and LSTM
by: Guanghua Fu, et al.
Published: (2024-01-01)

Mechanical bearing fault detection based on two-stage neural network
by: X. Y. Fu, et al.
Published: (2024-01-01)