A Case Study of Anomaly Detection Based on Industrial Monitoring Data in Petrochemical Process

  • Xiaoxia Liang*
  • , Fang Duan
  • , Ian Bennett
  • , David Mba
  • *Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)320-334
    Number of pages15
    JournalMechanisms and Machine Science
    Volume105
    DOIs
    Publication statusPublished (VoR) - 2021

    Keywords

    • Compressor
    • Industrial multivariate data
    • Nonlinear autoregressive network with exogenous inputs (NARX)
    • Principal component analysis (PCA)
    • Sparse autoencoders (SAE)

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