Estimation of multiple faults in aircraft gas-turbine engines

  • Authors:
  • Soumik Sarkar;Chinmay Rao;Asok Ray

  • Affiliations:
  • Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA;Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA;Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA

  • Venue:
  • ACC'09 Proceedings of the 2009 conference on American Control Conference
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

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.