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。Unsupervised deep learning approach using a deep auto-encoder with an one-class support vector machine to detect structural damage
Zilong Wang et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
Automatic defect detection of metro tunnel surfaces using a vision-based inspection system
Dawei Li et al.
ADVANCED ENGINEERING INFORMATICS (2021)
Back-fill grouting quality evaluation of the shield tunnel using ground penetrating radar with bi-frequency back projection method
Xiongyao Xie et al.
AUTOMATION IN CONSTRUCTION (2021)
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets
Georgios Petmezas et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
Vibration-based damage detection of rail fastener clip using convolutional neural network: Experiment and simulation
Zhandong Yuan et al.
ENGINEERING FAILURE ANALYSIS (2021)
The life-cycle development and cause analysis of large diameter shield tunnel convergence in soft soil area
Xiongyao Xie et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)
Theoretical, Numerical, and Experimental Study on the Identification of Subway Tunnel Structural Damage Based on the Moving Train Dynamic Response
Hongqiao Li et al.
SENSORS (2021)
Large-scale geo-mechanical model tests for stability assessment of super-large cross-section tunnel
Liping Li et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)
MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach
Mustaqeem et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
1D convolutional neural networks and applications: A survey
Serkan Kiranyaz et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Distributed fibre optic monitoring of damaged lining in double-arch tunnel and analysis of its deformation mode
Yi Sui et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)
A VMD-EWT-LSTM-based multi-step prediction approach for shield tunneling machine cutterhead torque
Gang Shi et al.
KNOWLEDGE-BASED SYSTEMS (2021)
State-of-the-Art of Vehicle-Based Methods for Detecting Various Properties of Highway Bridges and Railway Tracks
Y. B. Yang et al.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS (2020)
Deep learning-based automatic recognition of water leakage area in shield tunnel lining
Yadong Xue et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Onur Avci et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Study on the evaluation and countermeasures of ecosystem status of Guangzhou
Yinbo Zhang et al.
2020 4TH INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2020) (2020)
A novel real-time monitoring system for the measurement of the annular grout thickness during simultaneous backfill grouting
Li Zeng et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network
Shouxiang Wang et al.
APPLIED ENERGY (2019)
Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements
Anna De Rosa et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
The State of the Art of Data Science and Engineering in Structural Health Monitoring
Yuequan Bao et al.
ENGINEERING (2019)
Structural Health Monitoring of Underground Structures in Reclamation Area Using Fiber Bragg Grating Sensors
Zhen Liu et al.
SENSORS (2019)
Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network
Xiaofeng Yuan et al.
IEEE Transactions on Industrial Informatics (2019)
Unsupervised novelty detection-based structural damage localization using a density peaks-based fast clustering algorithm
Young-Jin Cha et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)
Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices
Salim Lahmiri
IEEE SYSTEMS JOURNAL (2017)
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
Osama Abdeljaber et al.
JOURNAL OF SOUND AND VIBRATION (2017)
Track monitoring from the dynamic response of a passing train: A sparse approach
George Lederman et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Inspection equipment study for subway tunnel defects by grey-scale image processing
Hongwei Huang et al.
ADVANCED ENGINEERING INFORMATICS (2017)
Urban rail track condition monitoring based on in-service vehicle acceleration measurements
Xiukun Wei et al.
MEASUREMENT (2016)
A Review of Indirect Bridge Monitoring Using Passing Vehicles
Abdollah Malekjafarian et al.
SHOCK AND VIBRATION (2015)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
A review on recent development of vibration-based structural robust damage detection
Y. Y. Li et al.
STRUCTURAL ENGINEERING AND MECHANICS (2013)
The effect of weak interlayer on the failure pattern of rock mass around tunnel - Scaled model tests and numerical analysis
Feng Huang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2013)