文章基本信息

标题：Automated recognition of spikes in 1 Hz data recorded at the Easter Island magnetic observatory
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作者：Anatoly Soloviev ; Arnaud Chulliat ; Shamil Bogoutdinov 等
期刊名称：Earth, Planets and Space
电子版ISSN：1880-5981
出版年度：2012
卷号：64
期号：9
页码：743-752
DOI：10.5047/eps.2012.03.004
出版社：Springer Verlag
摘要：In the present paper we apply a recently developed pattern recognition algorithm SPs to the problem of automated detection of artificial disturbances in one-second magnetic observatory data.The SPs algorithm relies on the theory of discrete mathematical analysis, which has been developed by some of the authors for more than 10 years.It continues the authors’ research in the morphological analysis of time series using fuzzy logic techniques.We show that, after a learning phase, this algorithm is able to recognize artificial spikes uniformly with low probabilities of target miss and false alarm.In particular, a 94% spike recognition rate and a 6% false alarm rate were achieved as a result of the algorithm application to raw one-second data acquired at the Easter Island magnetic observatory.This capability is critical and opens the possibility to use the SPs algorithm in an operational environment. Key words Magnetic observatory magnetogram spikes pattern recognition fuzzy logic.
关键词：Magnetic observatory ;magnetogram ;spikes ;pattern recognition ;fuzzy logic