噪声与振动控制Issue(5)：177-181,186,6.DOI:10.3969/j.issn.1006-1335.2014.05.039
水下耦合机械噪声源的量化识别及试验
Quantitative Identification and Experiments of the Underwater Coupled Mechanical Noise Source
摘要
Abstract
It is difficult to efficiently identify the main vibration sources and the transmission paths of submarines using the existing methods only. In this paper, the blind source separation (BSS) method combined with transfer path analysis is put forward. First of all, to make up the imperfection of the existing BSS algorithms, a new kind of simple Jacobi-type algorithms for non-orthogonal matrix joint block diagonalization based on the LU factorization is presented, in which the signals of multi-vibration-sources are regarded as convolution overlap. After solving the uncertainty of the sequence of the separated vibration sources, an operational transfer path analysis method based on BSS is proposed, which can eliminate the impact of the amplitude uncertainty on identifying the vibration sources. Finally, the algorithm is successfully applied to identifying the underwater vibration sources of the submarine cabin model. The results demonstrate that the proposed BSS algorithm has the merits of simplicity, fast convergence and high accuracy, and is much better than the existing methods. The performance of the integrated source identification algorithm is superior in underwater sound field prediction and the sequence of noise contribution to the algorithm whose vibration sources are coupled. Therefore, the purpose to effectively and accurately identify the mechanical noise source is achieved.关键词
声学/噪声源识别/传递路径/盲源分离/耦合/联合块对角化Key words
acoustics/noise source identification/transfer path/blind source separation/couple/joint block diagonalization分类
通用工业技术引用本文复制引用
张磊,曹跃云,杨自春..水下耦合机械噪声源的量化识别及试验[J].噪声与振动控制,2014,(5):177-181,186,6.基金项目
总装十二五预研 （）
