Remaining useful life prediction based on known usage data

Jason S. Kiddy

doi:10.1117/12.484117

1 August 2003 Remaining useful life prediction based on known usage data

Jason S. Kiddy

Proceedings Volume 5046, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II; (2003) https://doi.org/10.1117/12.484117
Event: NDE for Health Monitoring and Diagnostics, 2003, San Diego, California, United States

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.

Citation Download Citation

Jason S. Kiddy "Remaining useful life prediction based on known usage data", Proc. SPIE 5046, Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Composites II, (1 August 2003); https://doi.org/10.1117/12.484117

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