Failure Effects Modeling of Interconnected Subsystems

Driven by the considerable promise of Condition Based Maintenance (CBM) methodology for reducing life cycle costs of equipment and machinery, prognostic, diagnostic, and anomaly detection techniques for estimation, evaluation, and prediction of conditionsof mechanical, electrical and many other types of components have matured significantly during recent years. Proposed here is an effort to develop advanced algorithms and software for next generation CBM technologies to deal with the problem ofincorporation of the failure mode effects models and failure monitoring tools constructed for individual components into the health monitoring scheme for the integrated system assembled from those components. Successful development of these tools willenable the system integrators to rapidly build preventive health monitoring (PHM) systems for complex equipment and machinery at significantly lower cost.The software will be developed on the Simulink platform of the Matlab Environment as an extension of the ADM (Aircraft Diagnostic Modeling) Library which includes a number of reasoner algorithms implemented by IAC, and complement IAC's intelligentMachinery Diagnostic System (iMDS) Matlab toolbox / blockset. Using Matlab as the basis for development will not only ensure rapid assessment of usefulness various algorithms but also provide an extendible platform for the users of tool. The tools for integration of failure effects models that are to be developed during the proposed program are applicable a wide variety of systems. Their usefulness is not limited to systems of interest to the Navy, but also to automotive, power plant, anda variety of other industrial applications.