波音 767 商用机队传感器和维护策略评估

2024 Annual Reliability and Maintainability Symposium (RAMS) Pub Date : 2024-01-22 DOI:10.1109/RAMS51492.2024.10457726

Lukmon Rasaq, Korbin Ferguson, William Teasley, Max Xu, Kyle E. Blond, O. P. Yadav

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引用次数: 0

摘要

本文提出了一个框架，利用性能指标和遗传算法评估传感器解决方案和维护策略，以减轻未来波音 767（B767）适航指令（ADs）的影响。所获得的结果可为预测性维护模型和可靠性改进提供信息，从而降低商用和军用 B767 运营商的适航指令成本。

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Sensor and Maintenance Strategy Evaluation for Boeing 767 Commercial Fleets

This paper presents a framework to evaluate sensor solutions and maintenance strategies using performance metric and genetic algorithm to mitigate future Boeing 767 (B767) Airworthiness Directives (ADs). The results obtained can inform predictive maintenance models and reliability improvements to mitigate the costs of AD for commercial and military B767 operators.

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2024 Annual Reliability and Maintainability Symposium (RAMS)

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