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Application of Duffing oscillator in ship propeller blade number recognition

机译:Duffing振子在船舶螺旋桨叶片数识别中的应用。

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摘要

Time-frequency analysis of ship noise is often used in passive sonar target classification. DEMON spectrum analysis is a common method of obtaining propeller speed and number of blades. Obtaining propeller speed and number of blades is usually based on the amplitude characteristics between the line spectrum of the shaft rate and harmonic components in the demodulation spectrum, which calls for an evident line spectra structure. Because of the effect of modern ships' noise-reduction technology, the demodulation line spectrum is sometimes very weak. The blade rate line spectrum can only be obtained from some ship noise (it is difficult to distinguish whether it is a blade rate line spectrum or a shaft rate line spectrum in practice). Depending on the amplitude characteristics of the demodulation spectrum, it is difficult to estimate shaft frequency and harmonic components' frequency, and it is also difficult to estimate the number of blades. Actually, the line spectrum of the shaft frequency and harmonic components' frequency always exist in the ship's low noise, but the amplitude value of the line spectrum is small, so they are sometimes obscured by environmental noise. Propeller blade numbers cannot be obtained using amplitude information. Because the amplitude of some demodulation spectrums of ship radiated noise is very weak, the application of a Duffing oscillator is studied in the weak amplitude demodulation spectrum of ship radiated noise. Through simulation and experiment analysis, a Duffing oscillator can detect weak demodulation signals under strong noise compared with traditional demodulation spectrum analysis methods. a A ship demodulation signal, which only has a blade rate line spectrum, is also analysed. The number of propeller blades can be recognized quite precisely according to the frequency multiplication relationship between the shaft rate line spectrum and the blade rate line spectrum.
机译:船舶噪声的时频分析通常用于被动声纳目标分类。 DEMON频谱分析是获得螺旋桨速度和叶片数量的常用方法。获取螺旋桨速度和叶片数通常是基于轴速线谱和解调谱中谐波分量之间的振幅特性,这需要明显的线谱结构。由于现代船舶的降噪技术的影响,解调线谱有时非常弱。叶片速率线频谱只能从某些船舶噪声中获得(实际上很难区分是叶片速率线频谱还是轴速率线频谱)。根据解调频谱的振幅特性,难以估计轴频率和谐波分量的频率,并且也难以估计叶片的数量。实际上,轴频率和谐波分量频率的线谱始终存在于船舶的低噪声环境中,但是线谱的幅值很小,因此有时会被环境噪声所遮盖。无法使用振幅信息获得螺旋桨叶片编号。由于船舶辐射噪声的某些解调频谱的幅度很弱,因此研究了Duffing振荡器在船舶辐射噪声的弱幅度解调频谱中的应用。通过仿真和实验分析,与传统的解调频谱分析方法相比,Duffing振荡器可以在强噪声下检测到微弱的解调信号。还分析了仅具有叶片速率线频谱的船舶解调信号。根据轴速率线谱和叶片速率线谱之间的倍频关系,可以非常精确地识别螺旋桨叶片的数量。

著录项

  • 来源
    《》|2016年|1-5|共5页
  • 会议地点 Harbin(CN)
  • 作者单位

    Underwater Acoustic Center, Navy Submarine Academy, Qingdao, China;

    Underwater Acoustic Center, Navy Submarine Academy, Qingdao, China;

    Underwater Acoustic Center, Navy Submarine Academy, Qingdao, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Propulsion; Marine vehicles;

    机译:推进;海上车辆;
  • 入库时间 2022-08-26 13:55:29

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