26th Congress of International Council of the Aeronautical Sciences
including the 8th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference
14 - 19 September 2008, Anchorage, Alaska, USA
Paper ICAS 2008-6.1.2

HEALTH MONITORING FOR COMMERCIAL AIRCRAFT SYSTEMS

K. W. Przytula, D. Allen, J. Vian*, G. Mansouri*
HRL Labs., LLC, USA; *The Boeing Company, USA

Keywords: aircraft health monitoring, data mining, probabilistic models

This paper presents a methodology for the development of health monitoring solutions for complex systems. The goal of monitoring is early detection of system failures based on signals from built-in sensors and detectors. The methodology is illustrated on an example of health monitoring for an aircraft bleed air control system.

view full paper