Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Modeling and Simulation
Reference90 articles.
1. Santos, E., Xavier, W. B., Rodrigues, R. N., Botelho, S., Werhli, A.: Vision-based measurement applied to industrial instrumentation. Undefined. (2017) Accessed: Oct. 18, 2021. [Online]. Available: https://www.semanticscholar.org/paper/Vision-Based-Measurementapplied-to-Industrial-Santos-Xavier/3441c577f3e13d348fa8c0420bb1788da40681a3
2. Chethan, Y.D., Ravindra, H.V., Krishnegowda, Y.T.: Optimisation of machining parameters in turning Nimonic-75 using machine vision and acoustic emission signals by Taguchi technique. Measurement 144, 144–154 (2019). https://doi.org/10.1016/j.measurement.2019.05.035
3. Penumuru, D.P., Muthuswamy, S., Karumbu, P.: Identification and classification of materials using machine vision and machine learning in the context of industry 4.0. J. Intell. Manuf. Intell. Manuf. 31(5), 1229–1241 (2020). https://doi.org/10.1007/s10845-019-01508-6
4. Kim, J.H., Moon, D.K., Lee, D.W., Kim, J.S., Kang, M.C., Kim, K.H.: Tool wear measuring technique on the machine using CCD and exclusive jig. J. Mater. Process. Technol. 130, 668–674 (2002). https://doi.org/10.1016/S0924-0136(02)00733-1
5. Ayub, M.A., Mohamed, A.B., Esa, A.H.: In-line inspection of roundness using machine vision. Procedia Technol. 15, 807–816 (2014)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献