Rotary Wing Dynamic Component Structural Life Tracking Navy SBIR FY2008.1 Sol No.: Navy SBIR FY2008.1 Topic No.: N08-006 Topic Title: Rotary Wing Dynamic Component Structural Life Tracking Proposal No.: N081-006-1091 Firm: Analatom Incorporated 562 E. Weddell Drive Suite 4 Sunnyvale, California 94089-2108 Contact: Richard Clements Phone: (408) 734-9392 Web Site: http://www.analatom.com Abstract: The aim of this project is to demonstrate the feasibility of a fatigue lifetime tracking system for critical components used in rotary aircraft platforms. By incorporating neural network anomaly detection techniques, algorithms will be developed that track specific critical components and their unique identification across different platforms and rotary aircraft in order to evaluate both new and historic flight load parameter information associated with the operation of these multiple critical components. Combining this information with Health Usage Monitoring System (HUMS) data bases, algorithms will be developed that can both predict anomalous behaviors associated with extended flight load parameters, as well as forecast "just in time" (optimal component retirement life cycles) and outline interim maintenance diagnostic decision points. The fatigue tracking system will further utilize advanced diagnostics and prognostics through the HUMS platform to improve battle readiness of the components and systems, as well as minimize maintenance costs over the life-cycle of the component. Further development will provide an advanced tool to maintenance engineers for determination of necessary diagnostic procedures and schedules for specified components and systems. Benefits: Health Usage Monitoring Systems for fatigue lifetime tracking of critical components and high value structures have a broad range of commercial applications, including rotary and fixed wing military aircraft, commercial aircraft, ships, green energy wind turbines, and land based vehicles. Analatom is presently pursuing commercialization activities in all of these areas for its structural health monitoring platform. The results of the Phase I effort would be a further extension of the existing platform capability. Return