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Suitable triggering algorithms for detecting strong ground motions using MEMS accelerometers
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  • 作者:Ravi Sankar Jakka ; Siddharth Garg
  • 关键词:strong ground motion ; triggering algorithms ; seismic event detection ; MEMS accelerometers ; STA/LTA based algorithms
  • 刊名:Earthquake Engineering and Engineering Vibration
  • 出版年:2015
  • 出版时间:March 2015
  • 年:2015
  • 卷:14
  • 期:1
  • 页码:27-35
  • 全文大小:633 KB
  • 参考文献:1. Alandry B, Dumas N, Latorre L, Mailly F and Nouet P (2009), “A Mems-based Multi-sensor Platform for Consumer Applications,- / Ph.D. Research in Microelectronics and Electronics, PRIME, 320-23.
    2. Allen R (1978), “Automatic Earthquake Recognition and Timing from Single Traces,- / Bulletin Seismological Society of America, 68: 1521-532.
    3. Anderson DP, Cobb J, Korpela E, Lebofsky M and Werthimer D (2002), “SETI@home: An Experiment in Public-Resource Computing,- / Communications of the ACM, 45: 56-1. CrossRef
    4. Botella F, Rosa-Herranz J, Giner JJ, Molina S and Galianamerino JJ (2003), “A Real-time Earthquake Detector with Prefiltering by Wavelets,- / Computers & Geosciences, 29: 911-19. CrossRef
    5. Capon J, Greenfield RL and Lacoss R (1969), “Longperiod Signal Processing Results for the Large Aperture Seismic Array,- / Geophysics Journal, 34: 305-29. CrossRef
    6. Chung AI, Neighbors C, Belmonte A, Miller M, Sepulveda HH, Christensen C, Jakka RS, Cochran ES and Lawrence JF (2011), “The Quake-Catcher Network Rapid Aftershock Mobilization Program Following the 2010 / M8.8 Maule, Chile Earthquake,- / Seismological Research Letters, 82(4): 526-32. CrossRef
    7. Chung PJ, Jost ML and Bohme JF (2001), “Estimation of Seismic-wave Parameters and Signal Detection using Maximum-likelihood Methods,- / Computers & Geosciences, 27: 147-56. CrossRef
    8. Cochran ES, Lawrence JF, Christensen C and Chung A (2009b), “A Novel Strong Motion Seismic Network for Community Participation in Earthquake Monitoring,- / IEEE Instrumentation and measurement Magazine, 12(6): 8-5. CrossRef
    9. Cochran ES, Lawrence JF, Christensen C and Jakka RS (2009a), “The Quake-catcher Network: Citizen Science Expanding Seismic Horizons,- / Seismological Research Letters, 80(1): 26-0. CrossRef
    10. Farine M, Thorburn N and Mougenot D (2004), “General Application of MEMS Sensors for Land Seismic Acquisition-Is It Time?- / The Leading Edge, 23: 246-50. CrossRef
    11. Freiberger W (1963), “An Approximate Method in Signal Detection,- / Journal of Applied Mathematics, 20: 373-78.
    12. Fretcher K and Sharon (1983), “Walsh Transforms in Seismic Event Detection,- / IEEE Transactions on Electromagnetic Compatibility, 25.
    13. Gibbons SJ and Ringdal F (2006), “The Detection of Low Magnitude Seismic Events Using Arraybased Waveform Correlation,- / Geophysical Journal International, 165: 149-66. CrossRef
    14. Goforth T and Herrin E (1981), “An Automatic Seismic Signal Detection Algorithm Based on the Walsh Transform,- / Bulletin Seismological Society of America, 71: 1351-360.
    15. Griscom DT (2007), “SeisMac, Turn Your Apple Laptop into A Self-contained Seismograph,- / Seismological Research Letters, 77: 731-33. CrossRef
    16. Holland J (2003), “Earthquake Data Recorded by the MEMS Accelerometer,- / Seismological Research Letters, 74: 20-6. CrossRef
    17. Houliston DJ, Waugh G and Laughlin J (1984), “Automatic Real-time Event Detection for Seismic Networks,- / Computers & Geosciences, 10: 413
  • 作者单位:Ravi Sankar Jakka (1)
    Siddharth Garg (1)

    1. Department of Earthquake Engineering, Indian Institute of Technology, Roorkee, 247667, India
  • 刊物类别:Engineering
  • 刊物主题:Vibration, Dynamical Systems and Control
    Chinese Library of Science
  • 出版者:Institute of Engineering Mechanics (IEM), China Earthquake Administration
  • ISSN:1993-503X
文摘
With the recent development of digital Micro Electro Mechanical System (MEMS) sensors, the cost of monitoring and detecting seismic events in real time can be greatly reduced. Ability of MEMS accelerograph to record a seismic event depends upon the efficiency of triggering algorithm, apart from the sensor’s sensitivity. There are several classic triggering algorithms developed to detect seismic events, ranging from basic amplitude threshold to more sophisticated pattern recognition. Algorithms based on STA/LTA are reported to be computationally efficient for real time monitoring. In this paper, we analyzed several STA/LTA algorithms to check their efficiency and suitability using data obtained from the Quake Catcher Network (network of MEMS accelerometer stations). We found that most of the STA/LTA algorithms are suitable for use with MEMS accelerometer data to accurately detect seismic events. However, the efficiency of any particular algorithm is found to be dependent on the parameter set used (i.e., window width of STA, LTA and threshold level).

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