Application of a Bank of Kalman Filters for Aircraft Engine Fault Diagnostics

Abstract

In this paper, a bank of Kalman filters is applied to aircraft gas turbine engine sensor and actuator fault detection and isolation (FDI) in conjunction with the detection of component faults. This approach uses multiple Kalman filters, each of which is designed for detecting a specific sensor or actuator fault. In the event that a fault does occur, all filters except the one using the correct hypothesis will produce large estimation errors, thereby isolating the specific fault. In the meantime, a set of parameters that indicate engine component performance is estimated for the detection of abrupt degradation. The proposed FDI approach is applied to a nonlinear engine simulation at nominal and aged conditions, and the evaluation results for various engine faults at cruise operating conditions are given. The ability of the proposed approach to reliably detect and isolate sensor and actuator faults is demonstrated. (7 tables, 4 figures, 17 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA418001

Entities

People

  • Donald L. Simon
  • Takahisa Kobayashi

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Aircraft Engines
  • Control Systems
  • Electronic Mail
  • Engine Components
  • Estimators
  • False Alarms
  • Foreign Object Damage
  • Gas Turbines
  • High Pressure
  • Kalman Filters
  • Measurement
  • Mechanical Engineering
  • Propulsion Systems
  • Test And Evaluation
  • Turbines
  • Warning Systems

Fields of Study

  • Engineering

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