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Article
Artificial-Immune-System-Based Detection Scheme for Aircraft Engine Failures
Journal of Guidance Control and Dynamics (2011)
  • Mario G. Perhinschi, West Virginia University
  • Jaclyn Porter
  • Hever Moncayo, West Virginia University
  • Jennifer Davis, West Virginia University
  • Scott Wayne
Abstract
A detection scheme based on the artificial immune system paradigm was developed for specific classes of aircraft jet engine actuator and sensor failures, including throttle, burner fuel-flow valve, variable nozzle-area actuator, variable mixer-area actuator, low-pressure spool-speed sensor, low-pressure turbine exit static-pressure sensor, and mixer pressure-ratio sensor. The NASA Modular Aero-Propulsion System Simulation model was linearized and interfaced with a supersonic fighter aircraft model and a motion-based flight simulator, providing the adequate framework for development and testing. Several engine actuator and sensor failures were modeled and implemented into this simulation environment. A five-dimensional hyperspace was determined to build the self within the artificial immune system paradigm for detection purposes. The artificial immune system interactive design environment based on evolutionary algorithms developed at West Virginia University was used for data processing, detector generation, and optimization. Flight-simulation data for system development and testing were acquired through experiments in a motion-based flight simulator over extended areas of the flight envelope. The performance of the artificial-immune-system-based detection scheme was evaluated in terms of detection rates and false alarms. Results show that the artificial-immune-system-based approach has excellent potential for the detection of all of the classes of engine failures considered.
Keywords
  • Artificial Immune System,
  • Fault Tolerant Control,
  • Structural Damage Evaluation
Publication Date
January 9, 2011
DOI
https://doi.org/10.2514/1.52746
Citation Information
Mario G. Perhinschi, Jaclyn Porter, Hever Moncayo, Jennifer Davis, et al.. "Artificial-Immune-System-Based Detection Scheme for Aircraft Engine Failures" Journal of Guidance Control and Dynamics Vol. 34 Iss. 5 (2011) p. 1423 - 1440
Available at: http://works.bepress.com/hever_moncayo/90/