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Trends in Technological Innovation 33 Once integral starter-generator (ISG) technology is mature, it should reduce both cost and weight and increase reliability by eliminating the engine’s power-takeoff assembly. The engine’s oil, fuel and hy- draulic pumps can be electrically driven and the hydraulics systems can be eliminated completely if the engine’s and the aircraft’s actua- tors are converted to electrical devices. Furthermore, if the bearings are replaced by the foil air bearings or magnetic bearings described earlier, the lubrication system can be eliminated or greatly simplified and miniaturized. While this ISG technology is less risky than mag- netic or air bearings and fluidic nozzles, it is still several years away from being fielded. Prognostics and Engine Health Management Advanced engine health monitoring systems, including prognostics and diagnostics, along with electronic technical manuals, should reduce the total labor required to maintain engines and allow maintenance crews to plan for and accomplish preventative maintenance more effectively. The concept of monitoring engine performance has been around as long as engines themselves. However, the large advances in comput- ing power, rugged and miniaturized sensors, artificial neural net- works (ANNs),4 and diagnostic and prognostic algorithms will permit the incorporation of intelligent and responsive health assessment systems to improve engine reliability, predict degradation or failure, and prescribe corrective actions. The system will notify the pilot of near-term problems and inform the ground crew of required mainte- nance. At the end of each flight, engine behavioral characteristics will be downloaded to a central database. In addition to managing engine health, prognostic algorithms that track trends in engine ______________ 4ANNs are based on the construct of biological neural networks and as such are able to learn, remember, and associate new information with learned information. Like their more complicated biological counterparts, these systems are collections of individual, but interconnected, neurons. ANNs are trained to provide appropriate responses to stimuli by adjusting the individual neuron’s positively or negatively weighted responses to input from each other. Klerfors (1998) provides a more detailed tutorial on ANNs and their potential applications, pointing out that the most successful applications of artificial neural networks are in categorization and pattern recognition.PDF Image | Military Jet Engine Acquisition Technology Basics and Cost-Estimating Methodology
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