Estimation of multiple faults in aircraft gas-turbine engines

Soumik Sarkar, Chinmay Rao, Asok Ray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents estimation of multiple faults in aircraft gas-turbine engines, based on a statistical pattern recognition tool called Symbolic Dynamic Filtering (SDF). The underlying concept is built upon statistical analysis of evidences to estimate anomalies in multiple critical parameters of the engine system; it also presents a framework for sensor information fusion. The fault estimation algorithm is validated by numerical simulation on the NASA C-MAPSS test-bed of commercial aircraft engines.

Original languageEnglish (US)
Title of host publication2009 American Control Conference, ACC 2009
Pages216-221
Number of pages6
DOIs
Publication statusPublished - Nov 23 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: Jun 10 2009Jun 12 2009

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2009 American Control Conference, ACC 2009
CountryUnited States
CitySt. Louis, MO
Period6/10/096/12/09

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Sarkar, S., Rao, C., & Ray, A. (2009). Estimation of multiple faults in aircraft gas-turbine engines. In 2009 American Control Conference, ACC 2009 (pp. 216-221). [5159981] (Proceedings of the American Control Conference). https://doi.org/10.1109/ACC.2009.5159981