Framework for post-prognostic decision support

This paper describes a decision support system (DSS) for use in operational decision making with PHM-specific data. Challenges arise from the large amount of different information pieces upon which a decision maker has to act. Conflicting information from on-board and off-board PHM modules, seemingly contradictory and changing requirements from operations as well as maintenance for a multitude of different systems within strict time constraints make operational decision-making a difficult undertaking. The DSS enables the user to make optimal decisions based on his expression of rigorous trade-offs between different prognostic and external information sources. This is accomplished through guided evaluation of different optimal decision alternatives under operational boundary conditions using user-specific and interactive collaboration. We present some preliminary results of the use of such a DSS for post-prognostics decision-making