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Edge sensor signal processing algorithms for earthquake early detection
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2020 (English)In: Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2020, article id 9129617Conference paper, Published paper (Refereed)
Abstract [en]

A new earthquake early warning algorithm is proposed in this paper. Intelligent sampling technique is used to expose signal information in a way to facilitate the inference of knowledge. The goal is to assess, by observing the first few seconds of P-wave, whether the incoming earthquake is destructive or not, and to generate an alert or eventually take action. Once the proposed method has been developed, performance results obtained using real seismic data from open-access databases are presented, thereby validating the effectiveness of the proposed method in estimating seismic magnitude. Since real-time and device interoperability are critical aspects in applications such as seismic detection, the suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated. © 2020 IEEE.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. article id 9129617
Keywords [en]
Earthquake detection, IEEE1451, P-waves, Smart sampling, Smart sensors, Earthquakes, Seismic waves, ACCESS database, Device interoperability, Earthquake early warning, Edge sensors, Intelligent samplings, Seismic datas, Seismic detection, Signal information, Signal processing
Identifiers
URN: urn:nbn:se:miun:diva-41561DOI: 10.1109/I2MTC43012.2020.9129617Scopus ID: 2-s2.0-85088284339ISBN: 9781728144603 (print)OAI: oai:DiVA.org:miun-41561DiVA, id: diva2:1536196
Conference
2020 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2020; Dubrovnik; Croatia; 25 May 2020 through 29 May 2020
Available from: 2021-03-10 Created: 2021-03-10 Last updated: 2021-04-29Bibliographically approved

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Carratu, M.

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • text
  • asciidoc
  • rtf