An alternative pulse classification algorithm based on multiple wavelet analysis
An alternative pulse classification algorithm based on multiple wavelet analysis
Deniz Ertuncay, Giovanni Costa
Near fault ground motions may contain impulse behavior on velocity records. Such signals have a particular indicator which makes it possible to distinguish them from non-impulsive signals. These signals have significant effects on structures; therefore, they have been investigated for more than 20 years. In this study, we used Ricker and Morlet wavelets in order to analyze the wavelet power spectrum of the strong motion signals to investigate the impulsiveness. Both the area around the PGV and the area that exceeds the minimum threshold for the energy function are used in order to determine the position of the pulse. On both of these cases, particular criteria are used in order to characterize the signal. Then, we calculate the pulse period of the pulse region. Ricker and Morlet wavelets are also used to mimic the pulse signal. This method provides advanced information about the position of the maximum …
Citation
Ertuncay, D., & Costa, G. (2019). An alternative pulse classification algorithm based on multiple wavelet analysis. Journal of Seismology, 23(4), 929-942.
Bibtex
@article{ertuncay2019alternative, title={An alternative pulse classification algorithm based on multiple wavelet analysis}, author={Ertuncay, Deniz and Costa, Giovanni}, journal={Journal of Seismology}, volume={23}, number={4}, pages={929–942}, year={2019}, publisher={Springer} }
The article is available here.
Github repository of the study is here.