Vibration-based damage detection techniques used for health monitoring of structures: a review

By Swagato Das, P. Saha, S. K. Patro. 2016

408 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering

View Paper: https://www.semanticscholar.org/paper/5bd95a2fffc5eedec5141049e281af4053082df7

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. Adam Noel
7. Mohamed S. Shehata
8. A. Badawy

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): “On another note, [67–70,72] focus predominantly on traditional vibration-based SDD methods without highlighting ML and DL methods while this paper covers work utilizing ML and DL based methods.”
• Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey (2017, background): “Although ARMA model techniques can detect damage effectively, they fail to detect minor damages and they require installation of a large number of sensors [30].”