Data fusion of distributed AE sensors for the detection of friction sources during press forming

摘要: Abstract The authors proposed a friction source detection system using multi-acoustic emission (AE) sensors and data fusion in this study. In work, three AE are positioned at the metal forming tool for identification of location sources. signals were processed by FFT discrete wavelet transform (DWT), order to reduce noise extract features due friction. Fujimori method was employed measure arrival time from distributed sensors. Furthermore, database constructed estimate location. applied measuring during deep drawing sheet metal. Several experiments carried out results show that can be successfully detected multi-AE even if resource on interface die workpiece is invisible.