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Proceedings Paper

Data mining of aviation data for advancing health management
Author(s): Amit Mathur
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Paper Abstract

The operations of aircraft fleets typically result in large volumes of data collected during the execution of various operational and support processes. This paper reports on an Army-sponsored study conducted to research the applicability of data mining for processing such data. The study focused on three aspects: (1) understanding the aviation operations, maintenance environment, and data collection system; (2) investigating data analysis approaches with the purpose of identifying promising methods pertinent to aircraft health management; and (3) defining requirements for a tool to support the aviation maintenance planners and fleet managers. Results of preliminary analyses of two maintenance data and flight data sets are presented. An architecture for managing and mining aviation maintenance data and using results to update models used by diagnostic modules for fault isolation during maintenance activity is also presented.

Paper Details

Date Published: 16 July 2002
PDF: 11 pages
Proc. SPIE 4733, Component and Systems Diagnostics, Prognostics, and Health Management II, (16 July 2002); doi: 10.1117/12.475495
Show Author Affiliations
Amit Mathur, Qualtech Systems Inc. (United States)

Published in SPIE Proceedings Vol. 4733:
Component and Systems Diagnostics, Prognostics, and Health Management II
Peter K. Willett; Thiagalingam Kirubarajan, Editor(s)

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