TU Darmstadt / ULB / TUprints

A computer vision system for saw blade condition monitoring

Jourdan, Nicolas ; Biegel, Tobias ; Knauthe, Volker ; Buelow, Max von ; Guthe, Stefan ; Metternich, Joachim (2022):
A computer vision system for saw blade condition monitoring. (Publisher's Version)
In: Procedia CIRP, 104, pp. 1107-1112. Elsevier, ISSN 2212-8271,
DOI: 10.26083/tuprints-00021265,
[Article]

[img] Text
1-s2.0-S2212827121010842-main.pdf
Available under: CC-BY-NC-ND 4.0 International - Creative Commons, Attribution NonCommercial, NoDerivs.

Download (895kB)
Item Type: Article
Origin: Secondary publication
Status: Publisher's Version
Title: A computer vision system for saw blade condition monitoring
Language: English
Abstract:

Tool condition monitoring is a key component of predictive maintenance in smart manufacturing. Predicting excessive tool wear in machining processes becomes increasingly difficult if different materials need to be processed. We propose a novel computer vision-based system for saw blade condition monitoring that is independent of the processed materials and combines deep learning with classic computer vision. Our approach allows for accurate condition monitoring of blade wear which can further be used for predictive maintenance. Additionally, the system can classify different defect types such as missing blade teeth, thus preventing the production of scrap parts.

Journal or Publication Title: Procedia CIRP
Volume of the journal: 104
Publisher: Elsevier
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
600 Technik, Medizin, angewandte Wissenschaften > 670 Industrielle Fertigung
Divisions: 20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 06 May 2022 10:25
Last Modified: 06 May 2022 10:26
DOI: 10.26083/tuprints-00021265
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-212658
Additional Information:

Erscheint auch in: CIRP CMS 2021 - 54th CIRP Conference on Manufacturing Systems, 2021

URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21265
PPN:
Export:
Actions (login required)
View Item View Item