Deep Neural Networks for Reliability Modeling
ID: AF251-D016Type: Phase II
Overview

Topic

Deep Neural Networks for Reliability Modeling

Agency

Agency: DODBranch: USAF

Program

Type: SBIRPhase: Phase II

Topic Link

https://www.dodsbirsttr.mil/topics-app/

Additional Information

https://www.dodsbirsttr.mil/topics-app/
Timeline
    Description

    The Air Force Nuclear Weapons Center (AFNWC) is seeking innovative solutions through the SBIR program to enhance reliability modeling for the B61-12 Tail Kit Assembly (TKA) using Deep Neural Networks. The objective is to develop a predictive reliability model that surpasses the current simplistic Markov chain event model, which lacks the specificity needed for accurate future reliability predictions. This initiative is crucial for improving operational efficiency and minimizing downtime in defense systems, ultimately leading to better maintenance practices. The solicitation is set to open on January 8, 2025, with applications due by February 5, 2025, and further details can be found at the provided source link.

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