Title :
Prognostic health management for avionics system power supplies
Author :
Orsagh, Rolf ; Brown, Douglas ; Roemer, Michael ; Dabnev, T. ; Hess, Andrew
Author_Institution :
Impact Technol., LLC, Rochester, NY
Abstract :
This paper presents an integrated approach to switching mode power supply health management that implements techniques from engineering disciplines including statistical reliability modeling, damage accumulation models, physics of failure modeling, and sensor-based condition monitoring using automated reasoning algorithms. Novel features extracted from sensed parameters such as temperature, power quality, and efficiency were analyzed using advanced fault detection and damage accumulation algorithms. Using model-based assessments in the absence of fault indications, and updating the model-based assessments with sensed information when it becomes available provides health state awareness at any point in time. Intelligent fusion of this diagnostic information with historical component reliability statistics provides a robust health state awareness as the basis for accurate prognostic predictions. Complementary prognostic techniques including analysis of projected operating conditions by physics-based component aging models, empirical (trending) models, and system level failure progression models will be used to develop verifiable prognostic models. The diagnostic techniques, and prognostic models have been demonstrated through accelerated failure testing of switching mode power supplies
Keywords :
aerospace testing; aircraft power systems; avionics; failure analysis; life testing; accelerated failure testing; advanced fault detection; automated reasoning algorithms; avionics system power supplies; component reliability statistics; damage accumulation models; failure modeling; health state awareness; physics-based component aging models; prognostic health management; prognostic models; sensor-based condition monitoring; statistical reliability modeling; switching mode power supply; system level failure progression models; Aerospace electronics; Energy management; Engineering management; Physics; Power engineering and energy; Power supplies; Power system management; Power system modeling; Power system reliability; Reliability engineering;
Conference_Titel :
Aerospace Conference, 2005 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-8870-4
DOI :
10.1109/AERO.2005.1559663