During the past few years, condition monitoring of gas turbine engines has blossomed into an economically viable activity for some of the larger commercial airlines. These gains have been spurred to a significant degree by the development of sophisticated software algorithms for the interpretation of the limited available sensors. Software packages such as GE’s GEM and Rolls Royce’s COMPASS are being employed to realize many of these gains. Neither of these packages makes use of artificial intelligence despite the recent flurry of activity in this area. This paper reviews the recent commercial condition monitoring progress and suggests areas where AI and other advanced techniques could produce substantive gains.

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