Methodologies for Integration of Prognostic Health Management Systems with Maintenance Data

Impact Technologies propose to further develop and demonstrate an innovative software product that integrates maintenance and PHM system data to provide improved fault diagnostics and prediction of the remaining useful life of critical components. The proposed methodologies will enable the maintenance and logistics infrastructure to fully benefit from newly developed PHM systems and conversely for the PHM system to update itself based on feedback obtained from the maintenance systems. The integration process includes two modes of interaction: 1.) Health information driving the maintenance actions with available resource information, and 2.) Feedback from the maintenance systems providing valuable verification information implemented through a learning mechanism to the PHM system. This integration will utilize multi-agent software technology that is appropriate for open, highly dynamic, uncertain and complex systems including distributed databases such as the Engine Health Management Data Repository Center (EHM+DRC) or Reliability and Maintainability Information System (REMIS). Additionally, Impact Technologies and General Dynamics Information Technology will coordinate efforts to pull resident data in the GCSS-AF for integration with in the software application. The Phase I program successfully demonstrated the feasibility of the developed algorithms using simulation data. Phase II will focus on further development and harnessing of the Phase I technologies for use in specific Air Force applications.