| Autor: |
Marco Carratu, Salvatore Dello Iacono, Vincenzo Paciello, Antonio Espirito-Santo, Gustavo Monte |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
IEEE Open Journal of Instrumentation and Measurement, Vol 2, Pp 1-11 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2768-7236 |
| DOI: |
10.1109/OJIM.2023.3311049 |
| Popis: |
This article introduces a novel smart sensor that employs an advanced algorithm for earthquake early warning (EEW). The sensor utilizes a smart sampling technique to extract significant signal information, simplifying the process of inferring knowledge. The main objective is to assess the potential destructiveness of an incoming earthquake by analyzing the initial moments of the pressure wave and to generate an alert for prompt action, if necessary. This study includes the development and presentation of the proposed method, as well as performance evaluations using real seismic data obtained from freely accessible databases. These evaluations confirm the effectiveness of the proposed method in accurately estimating earthquake magnitudes. Furthermore, this article includes a comparison with a widely used EEW algorithm. The real-time functionality and interoperability of devices are crucial considerations in earthquake detection applications. The suitability and compatibility of the proposed method with the IEEE1451 family of standards are demonstrated and emphasized in this article. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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