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.
Schumann resonance is a phenomenon in the extremely low frequency electromagnetic field, which is generally presented in the form of spectrum diagram and time-frequency diagram in the form of data. In this paper, based on the analysis of the data of Schumann resonance 0~50Hz time-frequency diagram, the time difference matrix and frequency difference matrix of the first and second order of the Schumann resonance time-frequency diagram are extracted respectively, and the time-frequency diagram is encoded and decoded by convolution autoencoder. In the process of encoding and decoding, the mapping function is constructed by combining the constraints, and the time-frequency diagram is decomposed and fitted, so as to improve the ability of data to reflect changes. Then, according to the seven different index matrices obtained, the determinant, rank and trace of each index matrix are obtained, and the earthquakes with magnitude above six in the northern state of New Zealand from 2016 to 2019 are analyzed. The final experimental results show that there is a certain degree of feedback phenomenon in the selected analysis indicators in the research object of this paper for a period of time before and after the event, which shows that the method of time-frequency diagram analysis is feasible.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.