An Overview of Selected Prognostic Technologies With Application to Engine Health Management

作者: Michael J. Roemer , Carl S. Byington , Gregory J. Kacprzynski , George Vachtsevanos

DOI: 10.1115/GT2006-90677

关键词: SimulationCritical engineFault (power engineering)Health management systemSoftware architectureVisibilitySystems engineeringSet (abstract data type)Failure mode and effects analysisEngineeringSuite

摘要: The DoD has various vehicle platforms powered by high performance gas turbine engines that would benefit greatly from predictive health management technologies can detect, isolate and assess remaining useful life of critical line replaceable units (LRUs) or subsystems. In order to meet these needs for next generation engines, dedicated prognostic algorithms must be developed are capable operating in an autonomous real-time engine system software architecture is distributed nature. This envisioned should allow engine-level reasoners have visibility insight into the results local diagnostic implemented down at LRU subsystem levels. To accomplish this effectively requires integrated suite applied systems capture fault/failure mode propagation interactions occur systems, all way up through eventually level. paper, authors will present a generic set selected algorithm approaches as well provide overview required reasoning needed integrate information across engine.

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