• DocumentCode
    1676357
  • Title

    Seismic event trigger using fuzzy inference systems

  • Author

    Suwatthikul, J. ; Thirachai, S.

  • Author_Institution
    Nat. Electron. & Comput. Technol. Center, Ind. Control & Autom. Lab., Thailand
  • fYear
    2010
  • Firstpage
    130
  • Lastpage
    133
  • Abstract
    A seismic event trigger is one of the key features of field seismometers. The classical Short Time Average and Long Time Average ratio (STA/LTA) trigger has been widely used but there are still some limitations. More advanced techniques for seismic event triggers have been proposed; however, they mostly require a rather high level of computational resources. This paper discusses an implementation of a seismic event trigger using a fuzzy inference system (FIS) for field seismometers. The trigger takes into account both the STA/LTA ratio and frequency spectral components of the input signal. The trigger is designed to consume less computational resources and suited for embedded-based platforms.
  • Keywords
    fuzzy reasoning; geophysical signal processing; seismometers; spectral analysis; FIS; STA/LTA trigger; classical short time average trigger; computational resources; embedded-based platforms; field seismometers; frequency spectral components; fuzzy inference systems; input signal; long time average ratio trigger; seismic event trigger; Artificial neural networks; Buffer storage; Earthquakes; Instruments; Monitoring; Noise; Time frequency analysis; STA/LTA; Seismic trigger; fuzzy inference systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation and Systems (ICCAS), 2010 International Conference on
  • Conference_Location
    Gyeonggi-do
  • Print_ISBN
    978-1-4244-7453-0
  • Electronic_ISBN
    978-89-93215-02-1
  • Type

    conf

  • Filename
    5669905