Vibration-based multiclass damage detection and localization using long short-term memory networks-Reference-Cited by-同舟云学术

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Vibration-based multiclass damage detection and localization using long short-term memory networks

Published:2022-01 Issue: Volume:35 Page:436-451
ISSN:2352-0124
Container-title:Structures
language:en
Short-container-title:Structures

Author:

Sony Sandeep,Gamage Sunanda,Sadhu Ayan,Samarabandu Jagath

Funder

NSERC

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference52 articles.

1. 1-D CNNs for structural damage detection: verification on a structural health monitoring benchmark data;Abdeljaber;Neurocomputing,2018

2. Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks;Abdeljaber;J Sound Vib,2017

3. Toward compressed sensing of structural monitoring data using discrete cosine transform;Almasri;ASCE J Comput Civil Eng,2020

4. Data-driven structural health monitoring and damage detection through deep learning: state-of-the-art review;Azimi;Sensors,2020

5. Empirical mode decomposition and its variants: a review with applications in structural health monitoring;Barbosh;Smart Mater Struct,2020

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