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机构地区:[1]哈尔滨工程大学水声技术重点实验室,黑龙江哈尔滨150001
出 处:《哈尔滨工程大学学报》2014年第1期16-24,共9页Journal of Harbin Engineering University
基 金:中央高校基础科研基金资助项目(HEUCFR1119);教育部博士点基金资助项目(20122304120011);长江学者和创新团队发展计划基金资助项目(IRT1228)
摘 要:针对目前偏相干理论尚不适用的两种情况——输入间存在强耦合的情况和存在强相干声源的情况展开研究,将倒谱理论引入到噪声源识别的分析中,并结合希尔伯特变换关系,提出了一种判断输入间因果关系的新方法,从而避免耦合带来的影响。同时根据层次分析方法和偏相干理论,提出了针对偏相干输出谱的赋值规则以及对强相干声源贡献量的判定方法。文中对输入间存在强耦合并含有强相干信号的多输入单输出系统进行了仿真研究,并对潜艇舱段模型中机械设备噪声进行了量化分析。结果表明以上方法切实有效。Strong coupling between inputs and strorlg coherence sources are two situations in which partial coherence analysis is not applicable to use. THis paper introduces the cepstrtim theory into the noise source identification, and combined with the Hilbert transform, a new methodology in determining the causality between inputs is proposed, so that the influence brought by the coupling can be avoided. The analytic hierarchy process method and partial coherence theory were also used in the research in order to find the assignment rules of partial coherent spectrum and differentiate between the contributions of each signal from the strong coherence sources. During this research, simulation of the multi-input! single-output system with strong coupling and a strong coherence signal between inputs was conducted, as well as quantitative analysis of the noise of mechanical equipment in the submarine compartment model, which further proved the effectiveness of this methodology.
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