
Remaining Useful Life Calculation of a Component using Hybrid Fatigue Crack Model
Author(s) -
ebechhoefer,
Lei Xiao,
Xinghui Zhang
Publication year - 2021
Publication title -
proceedings of the annual conference of the prognostics and health management society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.18
H-Index - 11
ISSN - 2325-0178
DOI - 10.36001/phmconf.2021.v13i1.3062
Subject(s) - component (thermodynamics) , asset (computer security) , revenue , computer science , monotonic function , cover (algebra) , set (abstract data type) , survivability , value (mathematics) , reliability engineering , operations research , engineering , business , mechanical engineering , finance , mathematics , computer security , machine learning , mathematical analysis , physics , thermodynamics , programming language
High value asset vehicles, or vehicles where safety/operational readiness is important, benefit from an accurate remaining useful life (RUL) estimate. For these assets, RUL allows operators to realize revenue because of improved availability. This paper uses a hybrid, high cycle fracture mechanics model to improve the RUL estimate. The hybrid method’s performance is validated using prognosability, trendability and monotonicity against two existing models using a real-world data set. The improved model allows a longer time period to marshal the resources needed for repair or give operations personnel an extended window to bring other assets to cover missions that would otherwise be unavailable.