Tool Wear Detection Using Computer Vision System in Machining
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-9523-0_3
Reference23 articles.
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2. Yu X, Lin X, Dai Y, Zhu K (2017) Image edge detection based tool condition monitoring with morphological component analysis. ISA Trans 69:315–322
3. Zhu K, Yu X (2017) The monitoring of micro milling tool wear conditions by wear area estimation. Mech Syst Signal Process 93:80–91
4. Ghani JA, Rizal M, Nuawi MZ, Ghazali MJ, Haron CHC (2011) Monitoring online cutting tool wear using low-cost technique and user-friendly GUI. Wear 271(9–10):2619–2624
5. Dutta S, Pal SK, Sen R (2016) On-machine tool prediction of flank wear from machined surface images using texture analyses and support vector regression. Precis Eng 43:34–42
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