Initial test and maintenance solutions that are deployed to support new complex systems are generally imperfect and are initially liable to contribute substantially to system ownership costs. This is because development of effective health management solutions requires prediction of complex systemic interactions and the effect of presupposed external stimuli. It is nearly always the case that unforeseen emergent behavior (those that result from unpredicted system interactions) of fielded systems within their operational context create deviations from anticipated health management system performance. This suggests a need for processes and tools to monitor the effectiveness of product health management solutions in their application domains, collect data that validates and documents syste
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