Substructure Vibration NARX Neural Network Approach for Statistical Damage Inference

By Linjun Yan, Ahmed Elgamal, Garrison W. Cottrell. 2013

43 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Serkan Kiranyaz
2. Moncef Gabbouj
3. Onur Avcı
4. Osama Abdeljaber
5. Daniel J. Inman
6. Alper Erturk
7. Abdessattar Abdelkefi
8. Muhammad R. Hajj

In Mechanical Engineering

1. Daniel J. Inman
2. Serkan Kiranyaz
3. Onur Avcı
4. Osama Abdeljaber
5. Moncef Gabbouj
6. Alper Erturk
7. Abdessattar Abdelkefi
8. Muhammad R. Hajj

In Mechanics of Materials

1. Onur Avcı
2. Osama Abdeljaber
3. Serkan Kiranyaz
4. Moncef Gabbouj
5. Daniel J. Inman
6. Chee Kiong Soh
7. Gyuhae Park
8. Victor Giurgiutiu

Citations in the corpus

• A Review of Vibration-Based Damage Detection in Civil Structures: From Traditional Methods to Machine Learning and Deep Learning Applications (2020, background): “Currently, there are only very few attempts to utilize unsupervised approaches within the scope of structural damage detection [80,108,138,205].”