首页> 外文会议>Fleet maintenance modernization symposium >Enabling Maritime Superiority: Continuous Modal Acoustic Emission Monitoring of Unmanned Surface Vessel and Unmanned Underwater Vehicles Structures.
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Enabling Maritime Superiority: Continuous Modal Acoustic Emission Monitoring of Unmanned Surface Vessel and Unmanned Underwater Vehicles Structures.

机译:赋予海上优势:对无人水面船只和无人水下航行器结构进行连续模态声发射监测。

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This paper discusses the possibilities of integrating Modal Acoustic Emission (MAE) technology into Unmanned Surface Vessels (USV) and Unmanned Underwater Vehicles (UUV) of the present and future. It provides insights into how MAE technology can deliver real-time USV and UUV structural health information. Understanding vessel survivability during extended and continuing battle operations and extreme sea states is critical. MAE technology can be employed to better develop, build, and maintain unmanned vessels and vehicles that will likely be deployed in our Navy's forward most surface and sub-surface positions. The new generation of USVs and UUV's will be cheaper to build and operate than manned vessels, however their autonomous operation presents a host of new challenges associated with understanding battle damage and mission survivability. MAE technology application presents an opportunity to overcome unique structural evaluation challenges these new classes of vessels will present. How we manage and deploy these new platforms is yet to be fully understood, however MAE technology is poised to play a pivotal role in keeping decision-makers informed as to a vessel's real-time structural integrity and thus it's capabilities to conduct and complete missions. MAE technology can be built into first in class vessels to identify and enable correction of structural faults before they are repeated in subsequent full rate production. Distributing numerous unmanned vessels in the battlespace dictates agile design and development cycles where faults in unique structures can be corrected early. Early elimination of "Class" structural deficiencies will be crucial to delivering large numbers of USVs and UUVs to the battlespace. Through frequency specific information and machine learning implementation, MAE technology has been shown capable of reducing voluminous amounts of data into actionable data that guides asset managers in decision making. Through the ability to identify the damage source mechanism and quantify the energy release associated with the damage, MAE has become an invaluable in-service monitoring tool. There is very little technical guidance in NAVSEA publications or Military Standards on acoustic emission (AE) non-destructive testing (NDT) procedures. Despite this, MAE NDT technology has been effectively employed by the Navy to provide data critical to evaluating the condition of shipboard high pressure air and gas flasks and composite wrapped cylinders. MAE is useful for early fault detection, may be installed for continuous monitoring, and holds significant potential for evaluating USV and UUV structural integrity across the range of metallic and composite materials that will be utilized in these vessels.
机译:本文讨论了将模态声发射(MAE)技术集成到当前和未来的无人水面舰艇(USV)和无人水下航行器(UUV)中的可能性。它提供了有关MAE技术如何提供实时USV和UUV结构健康信息的见解。了解船只在长期和持续作战以及极端海况下的生存能力至关重要。 MAE技术可用于更好地开发,建造和维护无人船只和车辆,这些船只和车辆可能会部署在我们海军最前方的水面和水下位置。新一代的USV和UUV的建造和操作成本将比有人船便宜,但是它们的自主运行带来了与理解战损和任务生存能力相关的一系列新挑战。 MAE技术的应用为克服这些新型船舶将面临的独特结构评估挑战提供了机会。关于如何管理和部署这些新平台的方式尚未完全了解,但是MAE技术有望在使决策者了解船舶的实时结构完整性以及执行和完成任务的能力方面发挥关键作用。可以将MAE技术内置到一流的船舶中,以在结构性故障在随后的全速生产中重复之前识别并启用结构性故障。在战场上分配大量无人船只决定了敏捷的设计和开发周期,在这种周期中,早期结构中的缺陷可以得到纠正。尽早消除“级”结构缺陷对于将大量USV和UUV交付战场至关重要。通过特定于频率的信息和机器学习的实施,MAE技术已被证明能够将大量数据减少为可操作的数据,从而指导资产管理者进行决策。通过识别损坏源机制并量化与损坏相关的能量释放的能力,MAE已成为宝贵的在役监视工具。在NAVSEA出版物或军用标准中,关于声发射(AE)无损检测(NDT)程序的技术指导很少。尽管如此,海军还是有效地利用了MAE NDT技术,以提供对评估舰载高压气瓶和气瓶以及复合包裹气瓶状况至关重要的数据。 MAE可用于早期故障检测,可以安装进行连续监测,在评估将用于这些容器的金属和复合材料范围内的USV和UUV结构完整性方面具有巨大潜力。

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