A Smart Node (Maintenance & Lifespan Prediction System)

DOI

説明

Failure doesn't occur overnight, as the warning signal from many different sources emerge, and even the production quality/quantity evolve prior to the failure. Hence, surveillance of these signals ‘sources could be used as an input for a system that depends on smart factory principles in order to predict failure and parts' lifespan in advance. This idea was echoing for few years but now it became achievable due to the development of the artificial intelligence (AI), machine learning, data mining and data reservoir technologies.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390854717509216768
  • DOI
    10.5954/icarob.2022.os20-2
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
  • 抄録ライセンスフラグ
    使用不可

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