Human body electric shock identification method and device based on Prony algorithm

Human body electric shock identification method and device based on Prony algorithm

The invention relates to the technical field of power grids, and provides a human body electric shock method and device based on a Prony algorithm, computer equipment and a storage medium. The method comprises the following steps: sampling a to-be-identified circuit to obtain residual current sampli...

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Hauptverfasser: LIU ZHIYONG, WANG XINGNAN, ZHOU QILIN, TONG RUI, HAN JIE, LIANG GUOKAI, DAI XIAOFENG, SUN QIZHEN, LING YUCHANG, LIU MINGHAO
Format: Patent
Sprache:chi ; eng
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MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
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creator LIU ZHIYONG
WANG XINGNAN
ZHOU QILIN
TONG RUI
HAN JIE
LIANG GUOKAI
DAI XIAOFENG
SUN QIZHEN
LING YUCHANG
LIU MINGHAO
description The invention relates to the technical field of power grids, and provides a human body electric shock method and device based on a Prony algorithm, computer equipment and a storage medium. The method comprises the following steps: sampling a to-be-identified circuit to obtain residual current sampling data, fitting the residual current sampling data through a Prony algorithm, obtaining an attenuated direct current component according to a fitting result, further extracting a target attenuated direct current component from the attenuated direct current component according to frequency and amplitude, and identifying the target attenuated direct current component. And comparing the target attenuation direct-current component with a preset attenuation direct-current component threshold value, and determining a human body electric shock identification result of the circuit to be identified according to a comparison result. According to the method, on the basis that the human body electric shock has the attenuated
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subjects MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
title Human body electric shock identification method and device based on Prony algorithm
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