A novel time-domain auto-regressive model for structural damage diagnosis

By Yong Lu, F. Gao. 2005

120 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Control and Systems Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/220de79750c7f0465ad352e6cd65b28a7278a264

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. O. D. Lautour
2. Nuno Maia
3. A. Ribeiro
4. Piotr Omenzetter
5. D. Montalvão
6. R. Gibson
7. Rigoberto Burgueño
8. Hadi Salehi

In Control and Systems Engineering

1. Nuno Maia
2. A. Ribeiro
3. Piotr Omenzetter
4. D. Montalvão
5. O. D. Lautour

In Mechanics of Materials

1. Nuno Maia
2. A. Ribeiro
3. Piotr Omenzetter
4. D. Montalvão
5. O. D. Lautour
6. R. Gibson
7. Hadi Salehi
8. Rigoberto Burgueño

Citations in the corpus

• Damage classification and estimation in experimental structures using time series analysis and pattern recognition (2010, background): “Several researchers examined the errors in structural responses produced by time series models fitted to data from undamaged and damaged structures and tried to detect damage [7-11].”
• A review of vibration-based structural health monitoring with special emphasis on composite materials (2006, background): “Lu and Gao (2005) proposed an approach formulated as a predictive auto-regressive model with exogenous input (ARX), based on the linear dynamic system theory.”