Date of Award
8-2004
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Department of Operational Sciences
First Advisor
Jeffrey P. Kharoufeh, PhD
Abstract
The United States Air Force is developing its next generation aircraft and is seeking to reduce the risk of catastrophic failures, maintenance activities, and the logistics footprint while improving its sortie generation rate through a process called autonomic logistics. Vital to the successful implementation of this process is remaining lifetime prognosis of critical aircraft components. Complicating this problem is the absence of failure time information; however, sensors located on the aircraft are providing degradation measures. This research has provided a method to address at least a portion of this problem by uniting analytical lifetime distribution models with environment and/or degradation measures to obtain the remaining lifetime distribution.
AFIT Designator
AFIT-DS-ENS-04-01
DTIC Accession Number
ADA426813
Recommended Citation
Cox, Steven M., "Hybrid Stochastic Models for Remaining Lifetime Prognosis" (2004). Theses and Dissertations. 3902.
https://scholar.afit.edu/etd/3902