期刊文献+

基于MIMO模型的潜艇声学故障预报研究 被引量:7

Study on Prediction of Submarine Acoustic Fault Based on MIMO Model
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摘要 利用多输入多输出(MIMO)量化分析模型对潜艇潜在故障源进行分析,并通过频段因果性检测解决M IM O模型各输入源的优先权问题,从而方便地得到了各源相对于叠加场的贡献百分比动态曲线,以用于潜艇声学故障的预报.给出了潜艇声学故障预报的一般流程,并阐述其应用步骤.用一个水池实验验证了文中所提出的方法的可行性. The concept of submarine acoustic fault and its prediction is brought forward for the first time. Based on the causality checking of inputs, the multi-input/multi-output (MIMO) modeling is employed to analyze and obtain the contribution per cent curve of each noise source, and thus to predict acoustic fault. Then a general flow and process of acoustic fault prediction is also given. Finally, a model ship towing tank experiment validates the feasibility of the proposed method.
出处 《武汉理工大学学报(交通科学与工程版)》 2008年第2期320-322,326,共4页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 资助(批准号:9140A10050506JB11)
关键词 声学故障 预报 MIMO模型 贡献比动态曲线 acoustic fault prediction MIMO contribution per cent curve
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参考文献4

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