Life period estimation of stamping process using punch sounds and deep neural network

Peng Jen Chen, Tsung Lun Wu, Tay Jyi Lin, Ying Hui Lai, Tsung Liang Wu, Chingwei Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages625-628
Number of pages4
ISBN (Electronic)9781538694909
DOIs
StatePublished - Jun 2019
Event14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019 - Xi'an, China
Duration: 19 Jun 201921 Jun 2019

Publication series

NameProceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019

Conference

Conference14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019
Country/TerritoryChina
CityXi'an
Period19/06/1921/06/19

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