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Noise characteristics in extreme shallow water with relation to ship maneuvering parameters

机译:与船舶操纵参数有关的极浅水噪声特性

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This paper examines the propeller characteristics of the radiated noise from a small research fishery vessel. In contrast to the typical ship noise analysis, where standards are provided for measurements in deep and relatively shallow water, the measurement in this work was conducted in extreme shallow water (depth less than 20 meters). Two recording systems (two hydrophones each) were used for acquiring the data, and a test vessel was utilized to perform several types of maneuvering lines. This study addresses the extraction of the ship propeller characteristics such as the rotation speed, the number of blades, and the propeller acceleration. Demodulation technique of the broadband propeller cavitation noise was implemented in two forms. In the uniform rotation of the propeller, the classical Fourier transformation (FFT) was utilized to analyze the envelope of the cavitation band and to extract the periodic characteristics of the propeller. In a non-uniform rotation behavior, the fractional Fourier transformation (FrFT) was used for extracting the instantaneous frequency information. In both methods multi-band filtering technique was implemented and showed improved peak to noise ratio for better extraction result. In addition, the radiated noise level (RNL) was estimated using two different propagation models, the cylindrical spreading loss model and BELLHOP-3D model that is based on ray tracing. The comparison of the variability of the estimated RNL using both propagation models showed high sensitivity of the BELLHOP-3D model to the distance between the target and the source.
机译:本文研究了小型研究渔船发出的辐射噪声的螺旋桨特性。与典型的船舶噪声分析相反,后者提供了在深水和相对浅水域中进行测量的标准,而这项工作中的测量是在极浅水域(深度小于20米)中进行的。两个记录系统(每个两个水听器)用于获取数据,测试船用于执行多种类型的操纵管线。这项研究致力于提取船舶螺旋桨特性,例如转速,叶片数和螺旋桨加速度。宽带螺旋桨空化噪声的解调技术以两种形式实现。在螺旋桨的均匀旋转中,经典的傅立叶变换(FFT)用于分析空化带的包络线并提取螺旋桨的周期性特征。在非均匀旋转行为中,分数阶傅立叶变换(FrFT)用于提取瞬时频率信息。两种方法都采用了多频带滤波技术,并显示出改善的峰噪比,以实现更好的提取结果。此外,使用两种不同的传播模型(圆柱扩展损耗模型和基于光线跟踪的BELLHOP-3D模型)估算了辐射噪声级(RNL)。使用两种传播模型对估计的RNL的变异性进行比较,结果表明BELLHOP-3D模型对目标与源之间的距离具有很高的敏感性。

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