1999
DOI: 10.1299/jsmea.42.249
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Impedance-Based Structural Health Monitoring for Temperature Varying Applications.

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Cited by 231 publications
(246 citation statements)
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“…However, when damage was introduced, the temperature made little influence on the qualitative detection result. They [53] also developed a compensation technique to minimise the effects of temperature on impedance measurement. The compensation procedure was based on the reconstruction of the damage metric, which minimised the impedance drifts due to temperature.…”
Section: Electrical Impedance-based Shm Methodmentioning
confidence: 99%
“…However, when damage was introduced, the temperature made little influence on the qualitative detection result. They [53] also developed a compensation technique to minimise the effects of temperature on impedance measurement. The compensation procedure was based on the reconstruction of the damage metric, which minimised the impedance drifts due to temperature.…”
Section: Electrical Impedance-based Shm Methodmentioning
confidence: 99%
“…Techniques have been developed to make impedance measurements insensitive to temperature variation (Koo et al 2007;Park 1999). Impedance is traditionally measured for laboratory experiments with a bulky and expensive impedance analyzer but Peairs et al developed a low-cost method for measuring impedance (2004).…”
Section: Impedance-based Structural Health Monitoringmentioning
confidence: 99%
“…The piezoelectric coupling constant and complex Young modulus also result in baseline shift but their effect on the overall impedance is much smaller than that of the dielectric constant. The use of a modified RMSD metric, which compensates for frequency-wise and amplitude-wise shifts of the impedance function in order to minimize the temperature-induced drifts, is presented in the work of Park et al (1999) and showed good results. Many experiments from various case studies have shown that the real part of the electromechanical impedance is sensitive enough to detect damage and other changes in the structure features than the magnitude or the imaginary part, as seen in the work of Finzi Neto et al (2010).…”
Section: Introductionmentioning
confidence: 99%