Life Period Estimation of Stamping Process Using Punch Sounds and Deep Neural Network
conference on industrial electronics and applications(2019)
摘要
This paper presents the life period estimation of stamping process by analyzing its punch sounds with a deep neural network (DNN). Neuro-approximated MFCC (NA-MFCC) feature extraction has also been proposed to trade estimation accuracy for computation complexity at a finer granularity. Several Pareto-optimal configurations have been reported with the performance measured on an ARM Cortex A15-based prototype.
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关键词
life period estimation,stamping process,punch sounds,deep neural network,neuro-approximated MFCC,NA-MFCC,feature extraction,finer granularity,Pareto-optimal configurations,ARM Cortex A15-based prototype,DNN,computation complexity
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