A novel unsupervised deep learning model for global and local health condition assessment of structures

By M. Rafiei, Hojjat Adeli. 2018

380 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/fbbad9f8765c3e3532b8b557dec18723c9e95b4b

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. Zhiqiang Shang
2. Sutanu Bhowmick
3. Limin Sun
4. Satish Nagarajaiah
5. Ye Xia

Citations in the corpus

• Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection (2020, positive): “Rafiei and Adeli (2018) trained DRBM with frequency domain signal measured from a high-rise building model as the input, a health index can be defined with the output of DRBM to assess damage conditions.”