Application of Probabilistic Power Spectral Density Technique to Monitoring the Long-Term Vibrational Behaviour of CERN Seismic Network Stations
2020
scientific article
english
- ground motion
- power spectral density
- seismic network
EN In this paper, a statistical method called Probabilistic Power Spectral Density based on the standard spectral density plots is presented and utilized. The practical application and utility of this method are shown based on the seismic data collected over a long period from three seismic stations connected within the so-called CERN Seismic Network. The analysis was used to observe and monitor the increase in ambient vibration levels over a long period during the heightened heavy machinery work close to LHC Point 1 (ATLAS detector).
2020311-1 - 2020311-7
CC BY (attribution alone)
public
40
70