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華中科技大學學報(自然科學版) 2020, Vol. 48 Issue (10): 63-68 DOI10.13245/j.hust.201011

欄目:船舶與海洋工程
基于工況聚類優化的船舶輻射噪聲評估方法
李瑞彪 , 何 琳 , 卜文俊
海軍工程大學 a.振動與噪聲研究所;b.船舶振動噪聲重點實驗室湖北 武漢 430033
摘要 針對現有船舶工況數據輸入不能滿足工況傳遞路徑分析(OTPA)輻射噪聲評估方法線性系統條件,從而導致部分頻段輻射噪聲評估誤差較大的問題,提出基于聚類優化的船舶輻射噪聲評估方法.該方法通過改進的雙向二維主成分分析(2DD-PCA)法提取工況聚類特征,并利用K-means進行工況聚類,以聚類后的工況作為OTPA輸入并評估輻射噪聲.試驗結果表明:基于聚類優化的船舶輻射噪聲評估方法評估輻射噪聲,1/3倍頻程評估誤差最大為2.1 dB,絕大部分頻帶小于1 dB,較OTPA方法下降約6.8 dB,驗證了該方法的有效性.
關鍵詞 輻射噪聲 ;工況傳遞路徑分析 ;工況聚類 ;主成分分析 ;K-means
Ship-radiated noise evaluation method based on optimized working-conditions clustering
LI Ruibiao , HE Lin , BU Wenjun
a.Institute of Noise and Vibration;b.National Key Laboratory on Ship Vibration and Noise,Naval University of Engineering,Wuhan 430033,China
Abstract While evaluating ship-radiated noise with operational transfer path analysis (OTPA),a question arises that the input operating condition data cannot meet the linear system requirement of the method,which results in a large estimated error of radiated noise in several frequencies.Therefore,an optimized OTPA based on operating condition clustering for ship-radiated noise evaluation was proposed herein.An optimized method of two-directional-two-dimensional principal component analysis (2DD-PCA) to extract operating condition clustering feature was proposed,and K-means was used to cluster working-conditions based on the clustering feature.The classified working-conditions were taken as the input of OTPA to evaluate radiated noise.Experimental results show that the maximum estimated error of 1/3 octave by the optimized OTPA based on operating condition clustering is 2.1 dB,and less than 1 dB in most frequencies,which is reduced by approximately 6.8 dB compared with that of OTPA,verifying the feasibility of the proposed method.
Keywords radiated noise ; operational transfer path analysis ; operating condition clustering ; principal component analysis ; K-means
基金資助國家自然科學基金資助項目(11904407);湖北省自然科學基金資助項目(2019CFB247)

中圖分類號U661.44;TB532
文獻標志碼A
文章編號1671-4512(2020)10-0063-06
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文獻來源
李瑞彪, 何 琳, 卜文俊. 基于工況聚類優化的船舶輻射噪聲評估方法[J]. 華中科技大學學報(自然科學版), 2020, 48(10): 63-68
DOI:10.13245/j.hust.201011
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