Collection on characteristic parameters of emitted signals of metal cracking sound based on BP neural network
Huang Zhen-feng · Journal of Machine Design · 2010
The collection on characteristic parameters of emitted signals of metal cracking sound is the key to carrying out accordingly the fault diagnosis.With the combination of BP neural network and mode recognition a new method for collecting the characteristic parameters of emitted signals of metal materials fatigue sound has been put forward,and using the SAMOS sound emission detection system of American PAC Company to collect various kinds of parameters of sound emission.Some most effective characteristic parameters for sort recognition were selected by the use of that method,and its correctness was further verified by adopting the separability criterion.