A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

Vyron Christodoulou; Y Bi; FG Wilkie; Guoze Zhao; Bin Han

A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

Vyron Christodoulou
, Y Bi
, FG Wilkie
, Guoze Zhao
, Bin Han

Institute of Geology, China Earthquake Administration

Research output: Contribution to conference › Poster

Abstract

This work reports the development of a system pipeline for the analysis of the Swam satellite electromagnetic data. Our objective is to provide a streamlined functional tool for analyzing electromagnetic data over regions and investigate the relationship of precursory electromagnetic signals to seismic events. The process of the system pipeline consists of three stages of data extraction, data pre-processing and anomaly detection. To demonstrate the potentials of the tool in applying different kinds of algorithms under an anomaly detection scope of electromagnetic sequential time series data, we select a seismic event under scrutiny is in Ludian, China and occurred on 03/08/2014, and present the usefulness of our approach.

Original language	English
Pages	1
Publication status	Published (in print/issue) - 19 Jun 2018
Event	The 2018 Dragon 4 Cooperation Symposium - Xi'an, China Duration: 19 Jun 2018 → 22 Jun 2018

Conference

Conference	The 2018 Dragon 4 Cooperation Symposium
Country/Territory	China
City	Xi'an
Period	19/06/18 → 22/06/18

Development and application of collective anomaly detection methods to electromagnetic satellite data
Christodoulou, V. (Author), Wilkie, G. (Supervisor) & Bi, Y. (Supervisor), Sept 2020
Student thesis: Doctoral Thesis

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@conference{2e048192aa394906964859d3a2aeec0f,

title = "A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data",

abstract = "This work reports the development of a system pipeline for the analysis of the Swam satellite electromagnetic data. Our objective is to provide a streamlined functional tool for analyzing electromagnetic data over regions and investigate the relationship of precursory electromagnetic signals to seismic events. The process of the system pipeline consists of three stages of data extraction, data pre-processing and anomaly detection. To demonstrate the potentials of the tool in applying different kinds of algorithms under an anomaly detection scope of electromagnetic sequential time series data, we select a seismic event under scrutiny is in Ludian, China and occurred on 03/08/2014, and present the usefulness of our approach.",

author = "Vyron Christodoulou and Y Bi and FG Wilkie and Guoze Zhao and Bin Han",

year = "2018",

month = jun,

day = "19",

language = "English",

pages = "1",

note = "The 2018 Dragon 4 Cooperation Symposium ; Conference date: 19-06-2018 Through 22-06-2018",

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TY - CONF

T1 - A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

AU - Christodoulou, Vyron

AU - Bi, Y

AU - Wilkie, FG

AU - Zhao, Guoze

AU - Han, Bin

PY - 2018/6/19

Y1 - 2018/6/19

N2 - This work reports the development of a system pipeline for the analysis of the Swam satellite electromagnetic data. Our objective is to provide a streamlined functional tool for analyzing electromagnetic data over regions and investigate the relationship of precursory electromagnetic signals to seismic events. The process of the system pipeline consists of three stages of data extraction, data pre-processing and anomaly detection. To demonstrate the potentials of the tool in applying different kinds of algorithms under an anomaly detection scope of electromagnetic sequential time series data, we select a seismic event under scrutiny is in Ludian, China and occurred on 03/08/2014, and present the usefulness of our approach.

AB - This work reports the development of a system pipeline for the analysis of the Swam satellite electromagnetic data. Our objective is to provide a streamlined functional tool for analyzing electromagnetic data over regions and investigate the relationship of precursory electromagnetic signals to seismic events. The process of the system pipeline consists of three stages of data extraction, data pre-processing and anomaly detection. To demonstrate the potentials of the tool in applying different kinds of algorithms under an anomaly detection scope of electromagnetic sequential time series data, we select a seismic event under scrutiny is in Ludian, China and occurred on 03/08/2014, and present the usefulness of our approach.

M3 - Poster

SP - 1

T2 - The 2018 Dragon 4 Cooperation Symposium

Y2 - 19 June 2018 through 22 June 2018

ER -

A Tool of Data Analysis and Anomaly Detection for SWARM Satellite Electromagnetic Data

Abstract

Conference

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Student theses

Development and application of collective anomaly detection methods to electromagnetic satellite data

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