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Underwater acoustics propagation analysis and modelling of sound emitting devices

机译:声音发射装置的水下声学传播分析和建模

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摘要

Electro-Mechanical devices such as Wave Energy Converters (WECs) are potentially an important technology for the generation of renewable ocean energy. These underwater Acoustic Emitting (AE) machines are liable to experience certain failure modes such as damaged bearings, hydraulic faults, electrical arcs, vibration, etc. during their operation. This can lead to catastrophic failure of components of an overall ocean based system if necessary preventative measures are not taken. It is important therefore to create a robust condition monitoring process of rapid detection and classification of faults in these machines, to reduce costs and increase lifetime and reliability. This will assist companies involved in the deployment of these systems, particularly companies involved in the renewable ocean energy and marine technology sectors, to improve on the operational and management costs of ocean based systems, specifically impacting on efficiency and yield, reliability, and maintenance costs. Underwater sound around AE machines and vessels is often monitored for environmental impact assessment studies, and could be used to monitor the health of AE machines and vessels. This thesis illustrates the acquisition and visualization of acoustic signals produced by underwater AE machinery/vessels. It illustrates the technique involved in the deployment of an acquisition system and the subsequent conditioning, processing and presentation of the acquired underwater acoustic data. The work presented in this thesis also involves numerical modelling and simulation of low frequency component sound signals of underwater AE machines and vessels. It illustrates the effect of the interaction of sound signals with varied surfaces and boundaries, and their influences on the propagation of these underwater sound signals. A brief study of the effect of acoustic signals on marine fauna is also discussed in this thesis.
机译:诸如波浪能转换器(WEC)之类的机电设备可能是产生可再生海洋能的重要技术。这些水下声发射(AE)机器在运行过程中容易经历某些故障模式,例如轴承损坏,液压故障,电弧,振动等。如果不采取必要的预防措施,这会导致整个海洋系统的组件发生灾难性故障。因此,重要的是要创建一个健壮的状态监视过程,以快速检测和分类这些机器中的故障,以降低成本并增加使用寿命和可靠性。这将有助于参与这些系统部署的公司,特别是参与可再生海洋能源和海洋技术领域的公司,以改善基于海洋的系统的运营和管理成本,特别是影响效率和产量,可靠性和维护成本。 AE设备和容器周围的水下声音通常用于环境影响评估研究中进行监测,并可用于监测AE设备和容器的健康状况。本文阐述了水下声发射机械/船只产生的声信号的采集和可视化。它说明了采集系统的部署以及随后对采集的水下声学数据的调节,处理和表示所涉及的技术。本文提出的工作还涉及水下声发射机器和船只的低频分量声音信号的数值建模和仿真。它说明了声音信号与变化的表面和边界的相互作用的影响,以及它们对这些水下声音信号的传播的影响。本文还简要讨论了声信号对海洋动物的影响。

著录项

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    Ikpekha Oshoke;

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  • 年度 2017
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