Research on the Identification of Bridge Structural Damage Using Variational Mode Decomposition and Convolutional Self-Attention Neural Networks
出版年份 2023 全文链接
标题
Research on the Identification of Bridge Structural Damage Using Variational Mode Decomposition and Convolutional Self-Attention Neural Networks
作者
关键词
-
出版物
Applied Sciences-Basel
Volume 13, Issue 21, Pages 12082
出版商
MDPI AG
发表日期
2023-11-07
DOI
10.3390/app132112082
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep learning assisted non-contact defect identification method using diffraction phase microscopy
- (2023) SUBRAHMANYA N et al. APPLIED OPTICS
- A Robust Deep Learning-Based Damage Identification Approach for SHM Considering Missing Data
- (2023) Fan Deng et al. Applied Sciences-Basel
- Numerical Verification of the Drive-By Monitoring Method for Identifying Vehicle and Bridge Mechanical Parameters
- (2023) Kyosuke Yamamoto et al. Applied Sciences-Basel
- Application of Vehicle-Based Indirect Structural Health Monitoring Method to Railway Bridges—Simulation and In Situ Test
- (2023) Michael Reiterer et al. Applied Sciences-Basel
- Atmospheric visibility prediction by using the DBN deeplearning model and principal component analysis
- (2022) yufeng wang et al. APPLIED OPTICS
- A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure
- (2020) Tongwei Liu et al. SENSORS
- Mitigating effects of temperature variations through probabilistic-based machine learning for vibration-based bridge scour detection
- (2020) Wei Zheng et al. Journal of Civil Structural Health Monitoring
- Damage identification using deep learning and long-gauge fiber Bragg grating sensors
- (2020) Wenda Zhang et al. APPLIED OPTICS
- Method of damage location determination based on a neural network using a single fiber Bragg grating sensor
- (2019) Bangtian Xu et al. APPLIED OPTICS
- Experimentelle und numerische Untersuchung einer bestehenden Eisenbahnbrücke bei Zugüberfahrt
- (2019) Michael Reiterer Bautechnik
- Structural damage detection and localization using a hybrid method and artificial intelligence techniques
- (2019) Azadeh Noori Hoshyar et al. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
- Deep learning enhancement of infrared face images using generative adversarial networks
- (2018) Axel-Christian Guei et al. APPLIED OPTICS
- Hurst based vibro-acoustic feature extraction of bearing using EMD and VMD
- (2018) Satish Mohanty et al. MEASUREMENT
- A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
- (2018) Sheng Guo et al. SENSORS
- Convolutional neural networks for automated damage recognition and damage type identification
- (2018) Ceena Modarres et al. Structural Control & Health Monitoring
- Modal Strain Energy-based Structural Damage Identification: A Review and Comparative Study
- (2018) Shuqing Wang et al. Structural Engineering International
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now