海军战斗群自动化维护环境(BG-AME)和全舰监测(TSM)项目预测框架的实施

Proceedings, IEEE AUTOTESTCON Pub Date : 2002-12-10 DOI:10.1109/AUTEST.2002.1047960

M. Nolan, T. Cesarone

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引用次数: 3

摘要

本文将描述海军在战斗群自动化维护环境(BG-AME)和全舰监测(TSM)计划下如何使用基于预测框架模型的推理工具，以提供船舶系统的实时状态监测和预测，并为指挥官提供任务能力评估。

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Implementation of Prognostics Framework on Navy Battle Group - Automated Maintenance Environment (BG-AME) and Total Ship Monitoring (TSM) Programs

This paper will describe how the Prognostics Framework model-based reasoning tool was used by the Navy under the Battle Group - Automated Maintenance Environment (BG-AME) and Total Ship Monitoring (TSM) Programs to provide real-time condition monitoring and prognostics of ship systems, and provide mission capability assessments to commanders.

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Proceedings, IEEE AUTOTESTCON

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