Wood material recognition for industrial applications. Issue 3 (21st September 2018)

• Record Type: Journal Article
• Authors: Fu, Haibin; Liu, Huaping; Deng, Xiaoyan; Sun, Fuchun
• Is Part Of: Systems science & control engineering. Volume 6:Issue 3(2018)
• Page Start: 346
• Page End: 358
• Publication Date: 2018-09-21
• Subjects: Wood material recognition -- sound features extraction -- sound features combination -- machine learning method; System theory -- Periodicals; Automatic control -- Periodicals; 003.05
• DOI: 10.1080/21642583.2018.1553691
• Languages: English
• ISSNs: 2164-2583

Abstract

ABSTRACT: Material recognition is an essential problem in the industrial automation community. In this study, we develop a machine learning method to identify the wood material. We extract various feature descriptors for the sound signal and perform a comprehensive comparison with the common classifier. The experimental validations achieve the best feature combination. Besides, we developed a practical stylus to collect sound signal from the wooden samples and present promising preliminary results.