Data mining of aviation data for advancing health management

Amit Mathur

doi:10.1117/12.475495

16 July 2002 Data mining of aviation data for advancing health management

Amit Mathur

Proceedings Volume 4733, Component and Systems Diagnostics, Prognostics, and Health Management II; (2002) https://doi.org/10.1117/12.475495
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Amit Mathur "Data mining of aviation data for advancing health management", Proc. SPIE 4733, Component and Systems Diagnostics, Prognostics, and Health Management II, (16 July 2002); https://doi.org/10.1117/12.475495

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