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Seismic Reflection Analysis of AETA Electromagnetic Signals

The Key Laboratory of Integrated Microsystems, Peking University Shenzhen Graduate School, Shenzhen 518055, China
Engineering Department, Shenzhen MSU-BIT University, Shenzhen 518055, China
Authors to whom correspondence should be addressed.
Academic Editors: Sławomir Nowaczyk, Mohamed-Rafik Bouguelia and Hadi Fanaee
Appl. Sci. 2021, 11(13), 5869;
Received: 2 June 2021 / Revised: 22 June 2021 / Accepted: 22 June 2021 / Published: 24 June 2021
Acoustic and electromagnetics to artificial intelligence (AETA) is a system used to predict seismic events through monitoring of electromagnetic and geoacoustic signals. It is widely deployed in the Sichuan–Yunnan region (22° N–34° N, 98° E–107° E) of China. Generally, the electromagnetic signals of AETA stations near the epicenter have abnormal disturbances before an earthquake. When a significant decrease or increase in the signal is observed, it is difficult to quantify this change using only visual observation and confirm that it is related to an upcoming large earthquake. Considering that the AETA data comprise a typical time series, current work has analyzed the anomalism of AETA electromagnetic signals using the long short-term memory (LSTM) autoencoder method to prove that the electromagnetic anomaly of the AETA station can be regarded as an earthquake precursor. The results show that there are 2–4% anomalous points and some outliers exceeding 0.7 (after normalization) in the AETA stations within 200 km of the epicenter of the Jiuzaigou earthquake (M. 7.0) and the Yibin earthquake (M. 6.0) half a month before the earthquakes. Therefore, the AETA electromagnetic disturbance signal can be used as an earthquake precursor and for further earthquake prediction. View Full-Text
Keywords: AETA; anomaly detection; LSTM autoencoder; earthquake precursor; unsupervised learning AETA; anomaly detection; LSTM autoencoder; earthquake precursor; unsupervised learning
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MDPI and ACS Style

Bao, Z.; Yong, S.; Wang, X.; Yang, C.; Xie, J.; He, C. Seismic Reflection Analysis of AETA Electromagnetic Signals. Appl. Sci. 2021, 11, 5869.

AMA Style

Bao Z, Yong S, Wang X, Yang C, Xie J, He C. Seismic Reflection Analysis of AETA Electromagnetic Signals. Applied Sciences. 2021; 11(13):5869.

Chicago/Turabian Style

Bao, Zhenyu, Shanshan Yong, Xin’an Wang, Chao Yang, Jinhan Xie, and Chunjiu He. 2021. "Seismic Reflection Analysis of AETA Electromagnetic Signals" Applied Sciences 11, no. 13: 5869.

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