Intelligent Machine Tools Recognition Based on Hybrid CNNs and ELMs Networks

UM > Faculty of Science and Technology > DEPARTMENT OF ELECTROMECHANICAL ENGINEERING

Status	已發表Published
	Intelligent Machine Tools Recognition Based on Hybrid CNNs and ELMs Networks
	Zhang, K.; Tang, L.L.; Yang, Z. X.; Luo, L.Q.
	2019-05-01
Source Publication	Proceedings of The 2018 International Conference on Extreme Learning Machine
Abstract	In modern manufacturing industry featured with automation and flexibility, the intelligent machine tools management is essential for the workshop. The automatic recognition of the tools in terms of geometric shape, material and functions could enable the smooth integration with the downstream processes such as assembly and tolerance inspection. In this work, we proposed a novel machine tools recognition system for classifying 3D models and retrieving associated manufacturing information. A common and standard 3D tool database is constructed. The hybrid networks of Convolutional Neural Networks (CNNs) and Extreme Learning Machine (ELM) are developed for multiple view based 3D shape recognition. This framework utilizes the composited advantages of deep CNN architecture with the robust ELM auto-encoder feature representation, as well as the fast ELM classifier. The experimental results shows that it outperforms other methods which are using the manually specified 3D feature descriptors(SPINS,HKS,WKS and SiHKS). The proposed method can be applied in the machine tool management to recognize tools with a high accuracy of model classification and attributes retrieval.
Keyword	Machine Tools Recognition Convolutional Neural Networks(CNNs) Extreme Learning Machine Auto-Encoder
Language	英語English
The Source to Article	PB_Publication
PUB ID	41810
Document Type	Conference paper
Collection	DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Corresponding Author	Yang, Z. X.
Recommended Citation GB/T 7714	Zhang, K.,Tang, L.L.,Yang, Z. X.,et al. Intelligent Machine Tools Recognition Based on Hybrid CNNs and ELMs Networks[C], 2019.
APA	Zhang, K.., Tang, L.L.., Yang, Z. X.., & Luo, L.Q. (2019). Intelligent Machine Tools Recognition Based on Hybrid CNNs and ELMs Networks. Proceedings of The 2018 International Conference on Extreme Learning Machine.

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