Data fusion of distributed AE sensors for the detection of friction sources during press forming
Data fusion of distributed AE sensors for the detection of friction sources during press forming
复制标题
分布式 AE 传感器的数据融合，用于检测冲压成型过程中的摩擦源
DOI：
10.1016/s0924-0136(03)00533-8
复制
发表时间：
2003
影响因子：
6.3
通讯作者：
N. Aikawa
中科院分区：
文献类型：
--
作者：
Ming Yang;K. Manabe;K. Hayashi;M. Miyazaki;N. Aikawa
作者在本研究中提出了一种使用多声发射（AE）传感器和数据融合系统的摩擦源检测系统。在这项工作中，三个 AE 传感器位于金属成形工具上，用于识别摩擦源的位置。通过FFT和离散小波变换（DWT）对AE信号进行处理，以降低噪声并提取由于摩擦而产生的信号特征。采用藤森方法测量声发射源到分布式传感器的到达时间。此外，还构建了一个数据库并用于估计源位置。该检测系统用于测量金属板材拉深过程中的摩擦力。利用该摩擦检测系统进行了多次实验，结果表明，即使模具与工件界面上的摩擦源位置不可见，利用多声发射传感器系统也能成功检测到摩擦源的位置。
The authors proposed a friction source detection system using multi-acoustic emission (AE) sensors and data fusion system in this study. In this work, three AE sensors are positioned at the metal forming tool for identification of the location of friction sources. The AE signals were processed by FFT and discrete wavelet transform (DWT), in order to reduce the noise and extract features of signals due to friction. The Fujimori method was employed to measure the arrival time from AE source to the distributed sensors. Furthermore, a database was constructed and employed to estimate the source location. The detection system was applied for measuring the friction during deep drawing of sheet metal. Several experiments were carried out by using the friction detection system and the results show that the location of friction source can be successfully detected by using the multi-AE sensors system even if location of friction resource on interface of the die and the workpiece is invisible.