In order to carry out fault diagnosis in the laser shock processing,a plasma acoustic wave diagnosis method based on wavelet packet and BP neural networks is proposed.The energy distribution in some frequency range of the acoustic wave extracted by the wavelet packet is taken as the signal feature,and the different fault modes are classified and recognized after the neural networks training.The method is of great importance to further study on the plasma acoustic wave diagnosis method.
参考文献
相似文献
引证文献
引用本文
邱辰霖,程礼.基于小波包和神经网络激光冲击强化诊断研究[J].激光与红外,2012,42(10):1107~1110 QIU Chen-lin, CHENG Li. Study on plasma acoustic wave diagnosis of laser shock processing based on wavelet packet and neural networks[J]. LASER & INFRARED,2012,42(10):1107~1110