This paper describes methodologies and tools to anticipate in real-time, the onset of failures in electronic equipment. Currently developed techniques for prognostics and health management (PHM), depend on the observation of precursor variables and an imputation from them of impending failure. In electronic systems, such variables are difficult, impossible or expensive to obtain, so we propose a model-based technique utilizing embedded life models and environmental information obtained from aircraft mounted sensors that measure those parameters that most significantly accelerate failure in electronics, i.e. temperature, temperature variation, vibration and shock. This technology is referred to throughout this paper as electronics prognostics and health management (ePHM).
Prognostic and health management for avionics
2004 IEEE Aerospace Conference Proceedings (IEEE Cat. No.04TH8720) ; 5 ; 3435-3447 Vol.5
2004-01-01
1130071 byte
Conference paper
Electronic Resource
English
11.0202 Prognostic and Health Management for Avionics
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