The Impact of Metrics on the Choice of Prognostic Methodologies

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Metrics play an important part in the development and application of prognostic methodologies as they provide the capability to characterize and assess the quality of remaining useful life predictions. Although there is a wide range of both, prognostic metrics and prognostic methodologies available, the choice of those often is a demanding and time consuming task. Additionally, they are often treated as two separate problems to solve, while the choice of metrics has an impact on the choice of prognostic methodology and vice versa. In this paper, we therefore present a framework with the capability to automatically choose prognostic settings given specific system data to account for five different prognostic metrics. We then apply this framework to an aircraft data set to characterize the impact of metrics on the choice of prognostic methodologies. The results show that the choice of optimization metric has a big impact on the output of the generic prognostic framework and on the overall prognostic performance.
Original languageEnglish
Title of host publicationAIAA AVIATION 2022 Forum
Subtitle of host publicationJune 27-July 1, 2022, Chicago, IL & Virtual
PublisherAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
Number of pages15
ISBN (Electronic)978-1-62410-635-4
Publication statusPublished - 2022
EventAIAA AVIATION 2022 Forum - Chicago, United States
Duration: 27 Jun 20221 Jul 2022

Publication series

NameAIAA AVIATION 2022 Forum


ConferenceAIAA AVIATION 2022 Forum
Country/TerritoryUnited States


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