APA (7th ed.) Citation

Lei, Y., Li, C., Guo, L., Gao, H., Liang, J., Sun, Y., & He, J. (2023). Online quantitative monitoring of milling cutter health condition based on deep convolutional autoencoder. International journal of advanced manufacturing technology, 125(9-10), 4739-4752. https://doi.org/10.1007/s00170-023-10963-8

Chicago Style (17th ed.) Citation

Lei, Yuncong, Changgen Li, Liang Guo, Hongli Gao, Junhua Liang, Yi Sun, and Jigang He. "Online Quantitative Monitoring of Milling Cutter Health Condition Based on Deep Convolutional Autoencoder." International Journal of Advanced Manufacturing Technology 125, no. 9-10 (2023): 4739-4752. https://doi.org/10.1007/s00170-023-10963-8.

MLA (9th ed.) Citation

Lei, Yuncong, et al. "Online Quantitative Monitoring of Milling Cutter Health Condition Based on Deep Convolutional Autoencoder." International Journal of Advanced Manufacturing Technology, vol. 125, no. 9-10, 2023, pp. 4739-4752, https://doi.org/10.1007/s00170-023-10963-8.