• CN:11-2187/TH
  • ISSN:0577-6686

›› 2010, Vol. 46 ›› Issue (7): 82-87.

• 论文 • 上一篇    下一篇

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基于独立分量分析的潜艇振源贡献量定量计算方法

成玮;张周锁;何正嘉;王衍学;陈略   

  1. 西安交通大学机械制造系统工程国家重点实验室;西安交通大学机械工程学院
  • 发布日期:2010-04-05

Quantitative Calculation of Vibration Source Contributions of Submarines Based on Independent Component Analysis

CHENG Wei;ZHANG Zhousuo;HE Zhengjia;WANG Yanxue;CHEN Lüe   

  1. State Key Laboratory for Manufacturing and System Engineering, Xi’an Jiaotong University School of Mechanical Engineering, Xi’an Jiaotong University
  • Published:2010-04-05

摘要: 振动噪声控制对于潜艇具有重要意义。常用的振动噪声分析方法仅分析了噪声的来源,而未对振动噪声源对总振动噪声的贡献量进行定量计算。介绍盲源分离基本模型,以及基于独立分量分析理论和聚类评价方法提高盲分离性能的改进固定点算法,并基于该算法和先验信息理论提出一种定量计算振源贡献量的新方法。通过仿真试验分析基于两种不同分离准则算法的分离性能以及振源贡献量计算结果。将该方法应用于某型号潜艇缩比模型振源贡献量的定量计算中,对比分析表明该方法具有很高的计算精度。研究结论可为振动噪声的主动控制提供可靠的依据。

关键词: 定量计算, 独立分量分析, 改进固定点算法, 聚类评价, 盲源分离, 先验信息, 分体转向, 模糊协调控制, 巷道运输, 协调跟随

Abstract: Vibration noise control is of great significance to submarines. Vibration and noise source analysis methods that are commonly used only analyze the sources of vibration and noise, but sources contributions of submarine equipments are not calculated quantitatively. The basic model of blind source separation (BSS) and an improved fixed-point algorithm based on independent component analysis (ICA) are introduced, and the performance of BSS is improved by means of clustering evaluation. A new method to calculate the source contributions quantitatively based on the improved algorithm and priori information is proposed. The performances of BSS methods based on different separation criteria are compared in the simulations, and the result of sources contributions is analyzed. The new method is applied in quantitative calculation of vibration source contributions of a scaled submarine model, and the comparative result shows that it has high calculation accuracy. The conclusions provide a reliable evidence for the active control of vibration noise.

Key words: Blind source separation, Clustering evaluation, Improved fixed-point algorithm, Independent component analysis, Priori information, Quantitative calculation, Coordination and follow, Fuzzy coordinal control, Separated steering, Roadway transportation

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