The Automatic logistics program in the Air Force seeks to reduce development, production, and ownership costs for the next generation fighter aircraft by increasing system reliability while reducing maintenance requirements. A large number of technologies are becoming available within the Prognostics and Health Management (PHM) community that will lead to reduced cost and increased availability. 1 2The challenge is to develop advanced technology to integrate available PHM information from a variety of different sources into the maintenance and logistics infrastructure. PHM and maintenance/logistics systems must be thoroughly examined and tightly integrated in order to perform maintenance actions in the most efficient way to reduce ownership cost and increase availability. This paper presents multi-agent technology that integrates maintenance and PHM data to provide more effective maintenance identification and scheduling.The proposed methodologies will enable the maintenance and logistics infrastructure to fully benefit from newly developed PHM systems. Additionally, the PHM systems update themselves based on feedback obtained from the maintenance systems. The integration will utilize intelligent software agent technology in order to develop such solutions within open, highly dynamic, uncertain and complex environments with data distributed over a network. This provides benefits such as reusability, scalability, and continuous improvement with dynamically evolving ability.
An innovative pressure-measurement technique that employs the tools of molecular spectroscopy has been widely investigated by the aerospace community. Measurements are made via oxygen-sensitive molecules attached to the surface of interest as a coating, or paint. The pressure-sensitive-paint (PSP) technique is now commonly used in stationary wind-tunnel tests; this paper presents the use of this technique in advanced turbomachinery applications. New pressure- and temperature-sensitive paints (P/TSPs) have been developed for application to a state-of-the-art transonic compressor where pressures up to 1.4 atm and surface temperatures to 90°C are expected for the suction surface of the first-stage rotor. PSP and TSP data images have been acquired from the suction surface of the first-stage rotor at 85 percent of the corrected design speed for the compressor near-stall condition. A comparison of experimental results with CFD calculations is discussed.
This paper describes recent advances in the development of sol-iel-based pressure-sensitive paints (PSPs) for the idvestigation of low-speed-flow aerodynamics. Sol-gel-based materials are an attractive PSP binder matrix I,ecause of their robust material characteristics and compatibility with optical .
An innovative pressure-measurement technique that employs the tools of molecular spectroscopy has been widely investigated by the aerospace community. Measurements are made via oxygen-sensitive molecules attached to the surface of interest as a coating, or paint. The pressure-sensitive-paint (PSP) technique is now commonly used in stationary wind-tunnel tests; this paper presents the use of this technique in advanced turbomachinery applications. New pressure- and temperature-sensitive paints (P/TSPs) have been developed for application to a state-of-the-art transonic compressor where pressures up to 1.4 atm and surface temperatures to 90°C are expected for the suction surface of the first-stage rotor. PSP and TSP data images have been acquired from the suction surface of the first-stage rotor at 85% of the corrected design speed for the compressor near-stall condition. A comparison to over-the-rotor pressure transducer measurements will be presented.
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