Neural network for structural health monitoring with combined direct and indirect methods-Reference-Cited by-同舟云学术

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Neural network for structural health monitoring with combined direct and indirect methods

Published:2020-01-21 Issue:01 Volume:14 Page:1
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

HekmatiAthar SeyyedPooya¹,Taheri Mohammad²,Secrist Jameson³,Taheri Hossein⁴

Affiliation:

1. North Carolina A&T State University, Department of Electrical and Computer Engineering, Greensboro,

2. South Dakota State University, Department of Mathematics and Statistics, Brookings, South Dakota

3. Georgia Southern University, Department of Civil Engineering, Statesboro, Georgia

4. Georgia Southern University, Department of Manufacturing Engineering, Statesboro, Georgia

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference21 articles.

1. Internet of Things (IoT) Platform for Structure Health Monitoring

2. Bistable wind-induced vibration energy harvester for self-powered wireless sensors in smart bridge monitoring systems

3. Health Monitoring of Closure Joints in Accelerated Bridge Construction: A Review of Non-Destructive Testing Application

4. Cyber-Physical Codesign of Distributed Structural Health Monitoring with Wireless Sensor Networks

5. Use of a passing vehicle to scan the fundamental bridge frequencies: An experimental verification

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3. Railroad condition monitoring with distributed acoustic sensing: an investigation of deep learning methods for condition detection;Journal of Applied Remote Sensing;2024-03-15

4. Detection, Localization, and Quantification of Damage in Structures via Artificial Neural Networks;Shock and Vibration;2023-12-19

5. Detection of Anomalies in Additively Manufactured Metal Parts Using CNN and LSTM Networks;Recent Progress in Materials;2023-07-26

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