Performance assessment and validation of piezoelectric active-sensors in structural health monitoring
By Gyuhae Park, Charles R. Farrar, F. Lanza di Scalea, S. Coccia. 2006
292 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/af5ed7d1bed99a47912692dbb370e674b9a28ed6
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
- Charles R. Farrar
- Gangbing Song
- Gyuhae Park
- Michael D. Todd
- D. Mascarenas
- Hongnan Li
- Liang Ren
- Siu Chun Michael Ho
In Mechanical Engineering
- Charles R. Farrar
- Michael D. Todd
- Siu Chun Michael Ho
- Yao Yao
- Gyuhae Park
- Liang Ren
- Gangbing Song
- Hongnan Li
In Mechanics of Materials
- Charles R. Farrar
- Gyuhae Park
- Michael D. Todd
- D. Mascarenas
- Gangbing Song
- Siu Chun Michael Ho
- Yao Yao
- Liang Ren
Citations in the corpus
- A review of damage detection methods for wind turbine blades (2015, background): “Through computing the slope of the imaginary part of the admittance (inverse of the IMP) in the low frequency range, which is largely independent of the health state of its host blade, the self-diagnosing ability of PZT sensors can be achieved (Park et al 2006, Taylor et al 2012).”
- Development of an impedance-based wireless sensor node for structural health monitoring (2007, background): “determines the operational status of piezoelectric active-sensors in SHM ( Park et al. 2006a; 2006b ).”
- Crack detection and characterization techniques—An overview (2014, background): “, [46]) can be used as both actuators that generate elastic waves and detectors of the waves incoming from other piezoelectric elements.”