机械工程学报
機械工程學報
궤계공정학보
CHINESE JOURNAL OF MECHANICAL ENGINEERING
2015年
15期
128-134
,共7页
毛锦%徐中明%贺岩松%张志飞%陈思
毛錦%徐中明%賀巖鬆%張誌飛%陳思
모금%서중명%하암송%장지비%진사
统计最优%声场分离%声场重构%改进算法
統計最優%聲場分離%聲場重構%改進算法
통계최우%성장분리%성장중구%개진산법
statistically optimal%sound field separation%sound field reconstruction%modified algorithm
为了获取单个声源在多声源声场中的信息,传统的统计最优近场声全息分离方法是根据两个测量面之间的声压传递关系,用统计最优法直接分离,传统方法要求重构面和测量面的数据点数一致,重构效果依赖于测量面数据点数。为了在测量点数较少的情况下提高重构效果,提出先分别使用统计最优方法进行声场重构,使重构面数据点数多于测量面数据点数;再分别使用测量面数据和重构面数据之间的传递关系建立数学关系式,从而进行声场分离;最后,根据分离之后的测量面数据进行声场的重构和预测。通过数值仿真分析不同频率的声场分离效果,并通过试验验证了改进算法的可行性和正确性。分离结果表明,该方法不仅能减少测量点数,而且能提高分离精度,使计算更有效准确。
為瞭穫取單箇聲源在多聲源聲場中的信息,傳統的統計最優近場聲全息分離方法是根據兩箇測量麵之間的聲壓傳遞關繫,用統計最優法直接分離,傳統方法要求重構麵和測量麵的數據點數一緻,重構效果依賴于測量麵數據點數。為瞭在測量點數較少的情況下提高重構效果,提齣先分彆使用統計最優方法進行聲場重構,使重構麵數據點數多于測量麵數據點數;再分彆使用測量麵數據和重構麵數據之間的傳遞關繫建立數學關繫式,從而進行聲場分離;最後,根據分離之後的測量麵數據進行聲場的重構和預測。通過數值倣真分析不同頻率的聲場分離效果,併通過試驗驗證瞭改進算法的可行性和正確性。分離結果錶明,該方法不僅能減少測量點數,而且能提高分離精度,使計算更有效準確。
위료획취단개성원재다성원성장중적신식,전통적통계최우근장성전식분리방법시근거량개측량면지간적성압전체관계,용통계최우법직접분리,전통방법요구중구면화측량면적수거점수일치,중구효과의뢰우측량면수거점수。위료재측량점수교소적정황하제고중구효과,제출선분별사용통계최우방법진행성장중구,사중구면수거점수다우측량면수거점수;재분별사용측량면수거화중구면수거지간적전체관계건립수학관계식,종이진행성장분리;최후,근거분리지후적측량면수거진행성장적중구화예측。통과수치방진분석불동빈솔적성장분리효과,병통과시험험증료개진산법적가행성화정학성。분리결과표명,해방법불부능감소측량점수,이차능제고분리정도,사계산경유효준학。
In order to obtain the single source from the multi-sources, the traditional statistically optimal near-field acoustical holography method, which is based on sound pressure transmission relationship between two measurement planes, separates one sound field from another directly with the optimal method of statistical. As a result, the reconstructing surface has the same number of data points as the measuring plane, i.e. the result of reconstructing depends on the number of data point. To optimize the result of reconstructing with fewer measuring points, a modified algorithm is present. First, separately reconstruct the two sound fields with the optimal method of statistical so as to make sure that the reconstructing surface has more data points than the measuring plane. And then build the mathematical formula with both the data of measuring plane and reconstructing surface in order to realize sound field separation. Finally, according to the measurement plane data which are separated, the sound field will be previous and reconstructed. Numerical simulations have been done to analyzed results of sound field separation with the different frequencies, and experiments have been done to verify the modified algorithm. The results illustrate that the method can not only reduce the number of measuring, but also enhance the precision of separation to make the calculation more effective and accurate.