Anomaly detection in thermal pulse combustors using symbolic time series analysis

S. Gupta, A. Ray, A. Mukhopadhyay

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

This paper presents symbolic time series analysis of observable process variables for anomaly detection in thermal pulse combustors. The anomaly detection method has been tested on the time series data of pressure oscillations, generated from a non-linear dynamic model of a generic thermal pulse combustor. Results are presented to exemplify early detection of combustion instability due to reduction of friction coefficient in the tailpipe, which eventually leads to flame extinction.

Original languageEnglish (US)
Pages (from-to)339-351
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume220
Issue number5
DOIs
StatePublished - Dec 1 2006

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'Anomaly detection in thermal pulse combustors using symbolic time series analysis'. Together they form a unique fingerprint.

Cite this