Damage prognosis: the future of structural health monitoring

By Charles R. Farrar, N. Lieven. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2007

467 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Pollution

View Paper: https://www.semanticscholar.org/paper/781fff9972b6758958e131686786318edca5b99f

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. Keith Worden
2. Charles R. Farrar
3. Adam Noel
4. Mohamed S. Shehata
5. A. Badawy
6. Abderrazak Abdaoui
7. Tarek M. Elfouly
8. Mohamed Hossam Ahmed

In Mechanical Engineering

1. Keith Worden
2. Charles R. Farrar
3. Hoon Sohn
4. Peter Cawley
5. S. Price
6. Rita Bacelar Figueira

In Pollution

1. Adam Noel
2. Keith Worden
3. Mohamed S. Shehata
4. A. Badawy
5. Abderrazak Abdaoui
6. Tarek M. Elfouly
7. Charles R. Farrar
8. Mohamed Hossam Ahmed

Citations in the corpus

• An introduction to structural health monitoring (2007, background): “…that include SHM, condition monitoring (CM; Bentley & Hatch 2003), non-destructive evaluation (NDE; Shull 2002), statistical process control (SPC; Montgomery 1997) and damage prognosis (DP; which is summarized within this theme issue in Farrar & Lieven (2007); see also Farrar et al. (2003)).”
• Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey (2017, background): “Damage prediction, alternatively known as damage prognosis, is a concept that describes SHM systems in which the time of a structure’s failure is forecasted such that corrective action can be planned ahead of time [100].”