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原文传递 Structural Usage Monitoring and Flight Regime Recognition - Compliance Validation and Demonstration Using the Health and Usage Monitoring System Advisory Circular 29-2C MG 15.

题名：	Structural Usage Monitoring and Flight Regime Recognition - Compliance Validation and Demonstration Using the Health and Usage Monitoring System Advisory Circular 29-2C MG 15.
作者：	P. Bates; M. Davis; P. Sadegh;
关键词：	structural uage, rotorcraft safety
摘要：	Monitoring actual aircraft structural usage could increase rotorcraft safety enhancements provided by Health and Usage Monitoring Systems (HUMS) and could potentially reduce operating costs via usage-based maintenance (UBM) credits. While flight regime recognition (RR) algorithms have been demonstrated, none have been fully validated; additionally, obtaining UBM credit approval remains elusive and presents complex certification issues. The FAA funded this research and development effort to establish and demonstrate a viable approach for validating and certifying HUMS RR-enabled UBM credits. An end-to-end UBM process was defined that fulfills the objectives of Advisory Circular (AC) 29-2C, is technically sound, and works with available HUMS. The Sikorsky Aircraft Corporation (SAC) S-92 aircraft was used as a representative platform to demonstrate elements of the process. The existing S-92 HUMS RR algorithms were evaluated using extensive fleet data. The onboard RR results cannot be used directly because of inconsistencies found with the established SAC fatigue substantiation procedures. However, the onboard algorithms produced sufficiently accurate results to be used for UBM with appropriately defined offboard data mining processing by the rotorcraft original equipment manufacturer. This would allow UBM credit validation and AC compliance without changing the current HUMS installation, onboard RR algorithms, or fatigue substantiation methods. A new postprocessing technique, known as a regime-clustering algorithm, was developed that would be key to successfully mapping HUMS onboard system RR sequence output into selected damaging composite worst-case (CWC) usage spectrum regimes, which can be used in the existing retirement time analytical process. A key feature of the procedure is the automatic calculation of reliability factors that account for uncertainties in the clustering algorithm to maintain the baseline reliability of the original retirement time analytical p
总页数：	213p
报告类型：	科技报告