针对板状结构的微裂纹成像和评估问题,使用有限元分析方法在三维铝板中建立了埋藏型微裂纹,并采用对称激励的方式,在板中激励出S模态的Lamb波。利用多信号输入分类(multiple signal classification, MUSIC)算法,对传感器阵列捕捉到的信...针对板状结构的微裂纹成像和评估问题,使用有限元分析方法在三维铝板中建立了埋藏型微裂纹,并采用对称激励的方式,在板中激励出S模态的Lamb波。利用多信号输入分类(multiple signal classification, MUSIC)算法,对传感器阵列捕捉到的信号进行处理,测算板中位于远场的微裂纹方向角。而后通过设置多组传感器阵列进行交叉定位,从而实现对板状结构中可能存在的微裂纹的大范围、高精度定位成像。以此为基础,对阵列信号进行波束成形算法处理,实现对信号的空间滤波,以减少其他方向的杂波对阵列信号的干扰;通过对处理后的阵列信号进行分析,计算其非线性参数,实现对裂纹损伤几何信息的评估。研究结果表明,该研究所构建的微裂纹定位成像算法在较高的环境噪声干扰下仍具备较好的损伤成像能力,且计算出的非线性参数与微裂纹厚度和宽度密切相关,可以有效评估微裂纹程度。展开更多
There exists MUSIC (multiple signal classification) algorithm for direction of arrival (DOA) estimation. This paper is to present a different MUSIC algorithm for more accurate estimation of low altitude target. The po...There exists MUSIC (multiple signal classification) algorithm for direction of arrival (DOA) estimation. This paper is to present a different MUSIC algorithm for more accurate estimation of low altitude target. The possibility of better performance is analyzed using a void reference sensor (VRS) in MUSIC algorithm. The following two topics are discussed: 1) the time delay formula and VRS-MUSIC algorithm with VRS located on the minus of z-axes; 2) the DOA estimation results of VRS-MUSIC and MUSIC algorithms. The simulation results show VRS-MUSIC algorithm has three advantages compared with MUSIC: 1) When the signal to noise ratio (SNR) is more than-5 dB, the direction estimation error is 1/2 as much as that obtained by MUSIC; 2) The side lobe is more lower and the stability is better; 3) The size of array that the algorithm requires is smaller.展开更多
文摘针对板状结构的微裂纹成像和评估问题,使用有限元分析方法在三维铝板中建立了埋藏型微裂纹,并采用对称激励的方式,在板中激励出S模态的Lamb波。利用多信号输入分类(multiple signal classification, MUSIC)算法,对传感器阵列捕捉到的信号进行处理,测算板中位于远场的微裂纹方向角。而后通过设置多组传感器阵列进行交叉定位,从而实现对板状结构中可能存在的微裂纹的大范围、高精度定位成像。以此为基础,对阵列信号进行波束成形算法处理,实现对信号的空间滤波,以减少其他方向的杂波对阵列信号的干扰;通过对处理后的阵列信号进行分析,计算其非线性参数,实现对裂纹损伤几何信息的评估。研究结果表明,该研究所构建的微裂纹定位成像算法在较高的环境噪声干扰下仍具备较好的损伤成像能力,且计算出的非线性参数与微裂纹厚度和宽度密切相关,可以有效评估微裂纹程度。
基金National Nature Science Foundation of China(60672136)
文摘There exists MUSIC (multiple signal classification) algorithm for direction of arrival (DOA) estimation. This paper is to present a different MUSIC algorithm for more accurate estimation of low altitude target. The possibility of better performance is analyzed using a void reference sensor (VRS) in MUSIC algorithm. The following two topics are discussed: 1) the time delay formula and VRS-MUSIC algorithm with VRS located on the minus of z-axes; 2) the DOA estimation results of VRS-MUSIC and MUSIC algorithms. The simulation results show VRS-MUSIC algorithm has three advantages compared with MUSIC: 1) When the signal to noise ratio (SNR) is more than-5 dB, the direction estimation error is 1/2 as much as that obtained by MUSIC; 2) The side lobe is more lower and the stability is better; 3) The size of array that the algorithm requires is smaller.
