Results 281 to 290 of about 969,779 (317)

Noncontact Sensing Techniques for AI-Aided Structural Health Monitoring: A Systematic Review

IEEE Sensors Journal, 2023
Engineering structures and infrastructure continue to be used despite approaching or having reached their design lifetime. While contact-based measurement techniques are challenging to implement at a large scale and provide information at discrete ...
A. Sabato, S. Dabetwar, N. Kulkarni, G. Fortino   +3 more
semanticscholar   +1 more source

Bayesian dynamic regression for reconstructing missing data in structural health monitoring

Structural Health Monitoring, 2022
Massive data that provide valuable information regarding the structural behavior are continuously collected by the structural health monitoring (SHM) system.
Yiming Zhang, Hongya Wang, Yunyu Bai, J. Mao, Yichao Xu   +4 more
semanticscholar   +1 more source

Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory

Structural Health Monitoring, 2022
Bridges are critical components of transportation infrastructure. To ensure the long-term performance of bridges and the safety of the public, regular inspections are required during their service.
Shengang Li, Wentao Wang, Bo Lu, Xi Du, Manman Dong, Tianbiao Zhang, Zifan Bai   +6 more
semanticscholar   +1 more source

A review of computer vision–based structural health monitoring at local and global levels

Structural Health Monitoring, 2020
Structural health monitoring at local and global levels using computer vision technologies has gained much attention in the structural health monitoring community in research and practice. Due to the computer vision technology application advantages such
C. Dong, N. Catbas
semanticscholar   +1 more source

Machine learning paradigm for structural health monitoring

Structural Health Monitoring, 2020
Structural health diagnosis and prognosis is the goal of structural health monitoring. Vibration-based structural health monitoring methodology has been extensively investigated.
Y. Bao, Hui Li
semanticscholar   +1 more source

Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

Structural Health Monitoring, 2020
Damage detection is one of the most important tasks for structural health monitoring of civil infrastructure. Before a damage detection algorithm can be applied, the integrity of the data must be ensured; otherwise results may be misleading or incorrect.
J. Mao, Hongya Wang, B. Spencer
semanticscholar   +1 more source

A Feature Extraction & Selection Benchmark for Structural Health Monitoring

Structural Health Monitoring, 2022
There are a large number of time domain, frequency domain and time-frequency signal processing methods available for univariate feature extraction.
T. Buckley, Bidisha Ghosh, V. Pakrashi
semanticscholar   +1 more source

Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks

Structural Health Monitoring, 2020
In the application of structural health monitoring, the measured data might be temporarily or permanently lost due to sensor fault or transmission failure.
Xiao-Jun Lei, Limin Sun, Ye Xia
semanticscholar   +1 more source

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

, 2020
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
Limin Sun, Zhiqiang Shang, Ye Xia, Sutanu Bhowmick, Satish Nagarajaiah   +4 more
semanticscholar   +1 more source

A review in guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques.

Ultrasonics, 2023
Zhengyan Yang, Hongjuan Yang, Tong Tian, Deshuang Deng, Mutian Hu, Jitong Ma, D. Gao, Jiaqi Zhang, Shuyi Ma, Lei Yang, Hao Xu, Zhanjun Wu   +11 more
semanticscholar   +1 more source