Anomaly detection of seismogram with autoencoder

DOI

Bibliographic Information

Other Title
  • オートエンコーダを用いた地震計の時系列異常検知

Description

<p>It became possible to collect large scale of seismogram rapidly since the construction of Hi-net. This shows mechanical failure are not just obvious breakdowns but also include the aging failure. Obvious breakdowns were practicable to detect using previous methods. However, aging failure were discussed by researchers and specialists using its feature of frequency map. This make the delay of detecting failure. Not just this but because of its conclusion depending on discussion, it was hard to evaluate its correctness. In this paper, we propose the autoencoder method to predect sensor's anomaly behavior. Proposing method is to visualize the abstractness of sensor's anomaly behavior and evaluate it. Since the aging phenomenon need years data for observation, we built high-speed data processing system for serving big data. We experimented on real data for the valuation of proposed method.From this result, the proposed method shows its capability for detecting anomaly seismogram.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390848250119767680
  • NII Article ID
    130007857319
  • DOI
    10.11517/pjsai.jsai2020.0_4l2gs1303
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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