基于加速度传感器阵列的单振源识别方法
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摘要
为了解决机械振源识别中识别效率和精度问题,引入地震源识别的单三角阵列传感器方法,将其首次应用于机械振源的识别中,并基于阵列理论,提出基于互相关时延的双三角阵列加速度振源识别方法;通过金属平面板的数值仿真与实验验证,可以实现振源的定位和定距。误差分析表明,新方法可以有效避免单三角阵列方法受测试距离的影响;该识别算法减少了对传递路径的估计,可以作为对具有有限边界和框架结构特点的机械振源识别算法的参考。
In order to improve the identification precision and the efficiency in a mechanical vibration source identification process,the single triangular array sensor method was applied for identifying seismic sources in the identification of mechanical vibration sources. According to the theory of array,a new identification method of vibration source based on double triangular array with acceleration cross-orrelation delay was proposed. The numerical simulation and experiments on mental flat plates prove that the new method can fix the location and distance of vibration sources. Error analysis shows that it can effectively avoid the disadvantage of single triangular array methods whose accuracy is affected by test distance. The new recognition algorithm reduces the estimation amount for transmission path,and can be used as a reference of identification method of mechanical vibration source with frame and limited border feature.
In order to improve the identification precision and the efficiency in a mechanical vibration source identification process,the single triangular array sensor method was applied for identifying seismic sources in the identification of mechanical vibration sources. According to the theory of array,a new identification method of vibration source based on double triangular array with acceleration cross-orrelation delay was proposed. The numerical simulation and experiments on mental flat plates prove that the new method can fix the location and distance of vibration sources. Error analysis shows that it can effectively avoid the disadvantage of single triangular array methods whose accuracy is affected by test distance. The new recognition algorithm reduces the estimation amount for transmission path,and can be used as a reference of identification method of mechanical vibration source with frame and limited border feature.
引文
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[2]张洁,高宏力,陈春俊,等.高速列车非平稳信号盲源分离方法及应用[J].机械工程学报,2014,50(19):97-104.
[3]郭荣,周圣奇,章桐,等.基于逆子结构法的振源耦合虚拟传递路径分析[J].同济大学学报(自然科学版),2015,43(4):584-590.
[4]郭荣,裘剡,房怀庆,等.频域传递路径分析方法(TPA)的研究进展[J].振动与冲击,2013,32(13):49-55.
[5]周林,郑四发,王彬星,等.动载识别位置优化的传递函数相关法[J].机械工程学报,2011,24(1):14-19.
[6]冯海军.典型设备振源识别技术[J].噪声与振动控制,2012,4(2):127-131.
[7]徐炜卿,吴光强,栾文博.基于FFT与DFT相结合的频域分析方法及其应用[J].汽车工程,2014,36(1):51-60.
[8]王金富,李富才.机械故障诊断的信号处理方法:频域分析[J].噪声与振动控制,2013,33(1):173-180.
[9]郅熙彪,王伟策,刘强.正三角震动阵列对地面震动目标定位研究[J].探测与控制学报,2006,28(4):27-29,51.
[10]聂永发,朱海潮.测量阵列布置对基于源强分布声辐射模态的平面噪声源识别的影响[J].海军工程大学学报,2014,26(3):24-28.
[11]蔡宗义,赵俊渭,陈华伟,等.两种声学基阵被动定向性能的研究[J].声学与电子工程,2003,30(2):10-14.
[12]TOOK C C,MANDIC D P.The quaternion LMS algorithm for adaptive filtering of hypercomplex processes[J].IEEE Transactions on Signal Processing,2009,57(4):1316-1327.
[13]杨春志.基于阵列时延系统的振源方位估计[J].计算机应用,2012,32(1):175-178.
[14]SAHIN I,SIMAAN M,KEARSLEY A.Successive frequency domain minimization for time delay estimation[J].Signal Processing,2014,98:96-101.
[15]WANG Q M,YANG,Y SU M,et al.Research on application of micro-nano acceleration sensor in monitoring the vibration state of vehicles[J].Procedia Engineering,2012,29:213-1217.