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The ultimate goal of prognostics is to accurately predict remaining useful life (RUL) based on sensor data, system usage, and prior knowledge of fault-to-failure progression rates (i.e. a model). One of the key components necessary for developing a prognostic algorithm is a diagnostic severity metric. This paper presents an evaluation of a number of standard vibration-based diagnostic metrics, utilizing...
A fundamental problem in the development and validation of PHM technologies is the general shortage of realistic fault signature data. While healthy signatures can be obtained from operational systems, faults are relatively rare and difficult to observe. The PHM community must rely primarily on bench level seeded fault test data collected under a limited set of conditions. To augment physical data,...
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