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28 July 2023 Earthquake electromagnetic precursor anomaly detection method based on empirical mode decomposition
Bangjie Xu, Yongming Huang, Yong Lu, Hongyu Li
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Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127562A (2023) https://doi.org/10.1117/12.2685972
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China
Abstract
This paper proposes an anomaly detection method based on the combination of empirical mode decomposition (EMD) and sliding Interquartile range (SIQR) for detecting electromagnetic anomalies prior to earthquakes. The EMD method is used to effectively remove noise and trend components in the geomagnetic field data. Then, the SIQR algorithm is used to compare the raw data and the reconstructed data after EMD from multiple seismic stations. The results demonstrate that this method can more effectively detect electromagnetic disturbances prior to earthquakes.
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Bangjie Xu, Yongming Huang, Yong Lu, and Hongyu Li "Earthquake electromagnetic precursor anomaly detection method based on empirical mode decomposition", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127562A (28 July 2023); https://doi.org/10.1117/12.2685972
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KEYWORDS
Earthquakes
Electromagnetism
Modal decomposition
Magnetism
Data analysis
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