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

27 Citations (Scopus)


Oscillations travel along propagation paths and may impact the control performance of the whole plant. This paper presents a data-driven method for diagnosing the root cause of the plant-wide oscillation.The major contribution is the application of combining Granger causality, a statistical method based on linear prediction theory and principal component feature selection to provide a reliable diagnosis of oscillation propagation. Two case studies are used to demonstrate our proposed method. The work presented here may have significant implication for diagnosing of other kind of disturbance propagation. © 2012 IFAC.
Original languageEnglish
Pages (from-to)160-165
Number of pages6
JournalIFAC Proceedings Volumes
Issue number15
Publication statusPublished - Jul 2012
Externally publishedYes
Event8th International Symposium on Advanced Control of Chemical Processes, ADCHEM 2012 - , Singapore
Duration: 10 Jul 201213 Jul 2012

Bibliographical note

ISBN: 9783902823052 <br/>The authors are grateful for the financial support from China Scholarship Council (CSC) and the Center for Interactive Smart Oilfield Technologies (CISOFT), and thanks to Eastman Chemical Company for providing the industrial data.


  • Diagnosis
  • Granger causality
  • Oscillation
  • Propagation
  • Spectral analysis


Dive into the research topics of 'Root cause diagnosis of plant-wide oscillations using Granger causality'. Together they form a unique fingerprint.

Cite this