According to the characteristics of the acoustic emission signal which was induced by punching die when it fail, and though which to determine the characteristic parameters of failure signal; extracting the energy eigenvector of signal failure die by wavelet packet analysis technology, and Take the comparison between the energy in different frequency bands energy and total energy as the characteristic parameters. then though genetic algorithm to optimal the characteristic parameters. the principle of probabilistic consistency and the fuzzy mathematics possible theory were taken as the foundation to obtain the membership grade function of characteristic parameter .Last, the method was used to identify the state of punching die. Experiment shows that the method can reliably discriminate the conditions of the punching die and it has strong practicability.
骆志高 王祥 李举 范彬彬 郭啸栋. 利用声发射信号的特征分析对冲压模具的状态判别[J]. , 2009, 28(3): 186-189.
LUO Zhigao WANG Xiang LI Ju FAN Binin GUO Xiaodong. PUNCHING DIE STATE IDENTIFICATION BASED ON CHARACTERISTIC ANALYSIS OF ACOUSTIC EMISSION SIGNAL . , 2009, 28(3): 186-189.