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Proceedings Paper

NASA aviation safety program: Aircraft Engine Health Management Data Mining Tools roadmap
Author(s): Jonathan S. Litt; Donald L. Simon; Claudia Meyer; Hans DePold; J. Russell Curtiss; Howard Winston; Yao Wang; Irv Statler; Yuri Gawdiak
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Paper Abstract

Aircraft Engine Health Management Data Mining Tools is a project led by NASA Glenn Research Center in support of the NASA Aviation Safety Program's Aviation System Monitoring and Modeling Thrust. The objective of the Glenn-led effort is to develop enhanced aircraft engine health management prognostic and diagnostic methods through the application of data mining technologies to operational data and maintenance records. This will lead to the improved safety of air transportation, optimized scheduling of engine maintenance, and optimization of engine usage. This paper presents a roadmap for achieving these goals.

Paper Details

Date Published: 6 April 2000
PDF: 7 pages
Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); doi: 10.1117/12.381744
Show Author Affiliations
Jonathan S. Litt, NASA Glenn Research Ctr. (United States)
Donald L. Simon, NASA Glenn Research Ctr. (United States)
Claudia Meyer, Dynacs, Inc./NASA Glenn Research Ctr. (United States)
Hans DePold, United Technologies (United States)
J. Russell Curtiss, United Technologies (United States)
Howard Winston, United Technologies (United States)
Yao Wang, Caleum Research Corp./NASA Ames Research Ctr. (United States)
Irv Statler, NASA Ames Research Ctr. (United States)
Yuri Gawdiak, NASA Ames Research Ctr. (United States)


Published in SPIE Proceedings Vol. 4057:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II
Belur V. Dasarathy, Editor(s)

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