Development of Diagnostic and Prognostic Technologies for Aerospace Health Management Applications
IMPACT TECHNOLOGIES LLC ROCHESTER NY
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Effective aerospace health management integrates component subsystem and system level health monitoring strategies, consisting of anomalydiagnosticprognostic technologies, with an integrated modeling architecture that addresses failure mode mitigation and life cycle costs. Included within such health management systems will be various failure mode diagnostic and prognostic DIP approaches ranging from generic signal processing and experience-based algorithms to the more complex knowledge and model-based techniques. While signal processing and experienced-based approaches to DIP have proven effective in many applications, knowledge and model-based strategies can provide further improvements and are not necessarily more costly to develop or maintain. This paper will describe some generic prognostic and health management technical approaches to confidently diagnose the presence of failure modes or prognose a distribution on remaining time to failure. Specific examples of DIP strategies are presented herein that address valves, hot section lifting and performance degradation of an Auxiliary Power Unit APU system. In addition, a model is presented for a Power Take Off PTO shaft and AMAD snout bearing.