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An AETA Geo-sound Anomaly Detection Method Based on Baer Operator

Published: 12 April 2019 Publication History

Abstract

In view of the multi-component seismic monitoring system AETA's geo-sound precursor data (GD data), a new method is proposed for anomaly detection. Baer operator is executed for GD data to figure out the Baer feature sequence. The sliding interquartile method (IQR) can compute the abnormal index of the Baer feature sequence, and then the anomaly of the geo-sound data can be detected. And the experiment result in the northern central area of the Longmenshan fault zone shows that 61.54% geo-sound anomalies occurred in the 7 days before a nearby earthquake or 7 days after the earthquake. Meanwhile, 84.62% earthquakes could find at least one nearby station with geo-sound anomalies within ±7 days. The result indicates that there is a certain correlation between earthquakes and geo-sound abnormalities detected by the method. In addition, we compared the result of sliding IQR method based on Baer feature with that based on amplitude. The comparison result shows that Baer feature has better anomaly feature picking ability. This method fills the gap in the GD data anomaly detecting method domain.

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  • (2023)A Clone Selection Algorithm Optimized Support Vector Machine for AETA Geoacoustic Anomaly DetectionElectronics10.3390/electronics1223484712:23(4847)Online publication date: 30-Nov-2023

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    ICMAI '19: Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence
    April 2019
    232 pages
    ISBN:9781450362580
    DOI:10.1145/3325730
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Southwest Jiaotong University
    • Xihua University: Xihua University

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    Published: 12 April 2019

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    Author Tags

    1. AETA
    2. Baer Operator
    3. Earthquake
    4. Geo-sound
    5. Sliding Interquartile Method

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    • (2023)A Clone Selection Algorithm Optimized Support Vector Machine for AETA Geoacoustic Anomaly DetectionElectronics10.3390/electronics1223484712:23(4847)Online publication date: 30-Nov-2023

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