Root cause diagnosis of plant-wide oscillations using Granger causality

Tao YUAN, S. Joe QIN*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

150 Citations (Scopus)

Abstract

Oscillations are common in closed-loop controlled processes which, once generated, can propagate along process flows and feedback paths of the whole plant. It is important to detect and diagnose such oscillations to maintain high control performance. This paper presents a new data-driven time series method for diagnosing the sources and propagation paths of plant-wide oscillations. The proposed method first uses a latent variable method to select features which carry significant common oscillations, then applies both time-domain Granger causality and spectral Granger causality to provide reliable diagnosis of oscillation sources and propagations. Simulation tests and an industrial case study are shown to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)450-459
Number of pages10
JournalJournal of Process Control
Volume24
Issue number2
Early online date3 Dec 2013
DOIs
Publication statusPublished - Feb 2014
Externally publishedYes

Keywords

  • Granger causality
  • Oscillation propagation
  • Plant-wide oscillation
  • Root-cause diagnosis
  • Spectral Granger causality

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