Share Email Print
cover

Proceedings Paper

Remaining useful life prediction based on known usage data
Author(s): Jason S. Kiddy
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Systems Planning and Analysis, Inc. (SPA) has developed a novel statistical approach to estimating the remaining useful life of aircraft components based on known usage monitoring data. The analysis technique is known as the Remaining Useful Life Estimation (RULE) methodology. The basic premise of RULE is to determine conservative predictions for the component loads and fatigue life values from Monte Carlo simulations based on a desired component reliability. Then, as the aircraft's usage is monitored, the component life can be calculated with a known reliability based on the conservative predictions generated by the Monte Carlo simulation. The RULE methodology, which has been successfully tested on small-scale analytical problems, is ideally suited to be integrated into both rotorcraft and fixed-wing aircraft. Furthermore, modifications to the technology may prove to be applicable to wide variety of health and prognostic problems.

Paper Details

Date Published: 1 August 2003
PDF: 8 pages
Proc. SPIE 5046, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II, (1 August 2003); doi: 10.1117/12.484117
Show Author Affiliations
Jason S. Kiddy, Systems Planning and Analysis, Inc. (United States)


Published in SPIE Proceedings Vol. 5046:
Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II
Andrew L. Gyekenyesi; Peter J. Shull, Editor(s)

© SPIE. Terms of Use
Back to Top