Structural damage detection by fuzzy clustering

By S. Silva, M. D. Júnior, V. L. Júnior, M. Brennan. 2008

114 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/03e108a41c84ed3ddad493121e8152a369ba885e

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

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): “Clustering: The target of clustering is to divide the input dataset into clusters with similar examples [84].”