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Title:
CURRENT WAVEFORM ANALYZING DEVICE, AND CURRENT WAVEFORM ANALYZING METHOD
Document Type and Number:
WIPO Patent Application WO/2024/038624
Kind Code:
A1
Abstract:
Provided is a current waveform analyzing device (1) for analyzing a measured current waveform, the current waveform analyzing device (1) comprising an image data creating unit (2) for creating two-dimensional image data from the measured current waveform, an analyzing unit (3) for calculating latent variable data by inputting second two-dimensional image data, created as the two-dimensional image data by the image data creating unit (2) in accordance with a current waveform to be analyzed, into a trained neural network that has been trained on first two-dimensional image data created as the two-dimensional image data by the image data creating unit (2) from a current waveform measured in a learning phase, and a display unit (4) for displaying the latent variable data calculated by the analyzing unit (3), wherein the image data creating unit (2) creates the two-dimensional image data by means of a procedure that maximizes a difference between the latent variable data calculated when the current waveform is in a normal state and the latent variable data calculated when the current waveform is in an abnormal state.

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Inventors:
SEGAWA KOJI (JP)
Application Number:
PCT/JP2022/045655
Publication Date:
February 22, 2024
Filing Date:
December 12, 2022
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Assignee:
AIST (JP)
International Classes:
G01R13/00; G01R19/00; G06T7/00; G06V10/82
Foreign References:
JP2020119605A2020-08-06
JP2022003451A2022-01-11
JP2022114330A2022-08-05
KR102383139B12022-04-08
US20220050130A12022-02-17
Other References:
NAKAME, RYOYA; AOKI, SHIGEKI; MIYAMOTO, TAKAO: "Anomaly detection of network traffic using variational autoencoder", COMPUTER SECURITY SYMPOSIUM 2021; OCTOBER 26-29, 2021, INFORMATION PROCESSING SOCIETY OF JAPAN (IPSJ), 17 December 2021 (2021-12-17) - 29 October 2021 (2021-10-29), pages 551 - 558, XP009552977
Attorney, Agent or Firm:
NISHIZAWA Kazuyoshi et al. (JP)
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