المؤلفون: Lai, Xuwei, Zhang, Kai, Li, Zhixuan, Zheng, Qing, Ding, Guofu

المصدر: 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS) Data Driven Control and Learning Systems Conference (DDCLS), 2023 IEEE 12th. :1020-1024 May, 2023

Relation: 2023 IEEE 12th Data Driven Control and Learning Systems Conference (DDCLS)

المؤلفون: Wang, Yifan^{Aff1, Aff2, Aff3, Aff4}, Gao, Jie^{Aff1, Aff2, Aff3, Aff4, IDs00170024130553_cor2}, Wang, Wei^{Aff1, Aff2, Aff3, Aff4}, Du, Jinsong^{Aff1, Aff2, Aff3, Aff4}, Yang, Xu^{Aff1, Aff2, Aff3, Aff4}

المصدر: The International Journal of Advanced Manufacturing Technology. 131(1):171-182

المؤلفون: Ou, J., Li, H., Huang, G., Liu, B., Wang, Z.

المصدر: IEEE Transactions on Instrumentation and Measurement IEEE Trans. Instrum. Meas. Instrumentation and Measurement, IEEE Transactions on. 70:1-9 2021

المؤلفون: Hou, Wen, Guo, Hong^{Aff1, IDs1220602209121_cor2}, Yan, Bingnan, Xu, Zhuang, Yuan, Chao, Mao, Yuan

المصدر: Journal of Mechanical Science and Technology. 36(10):4993-5009

المؤلفون: Zhongling Xue, Liang Li, Ni Chen, Wentao Wu, Yuhang Zou, Nan Yu

المصدر: Micromachines, Vol 14, Iss 11, p 1983 (2023)

مصطلحات موضوعية: tool condition monitoring, tool wear state recognition, 1D Convolution, channel attention, Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-666X/14/11/1983; https://doaj.org/toc/2072-666X

URL الوصول: https://doaj.org/article/a29807679dfe45c1b003a00c1a60d073

المؤلفون: Jiaqi Wang, Zhong Xiang, Xiao Cheng, Ji Zhou, Wenqi Li

المصدر: Sensors, Vol 23, Iss 20, p 8591 (2023)

مصطلحات موضوعية: tool wear state identification, recursive feature elimination, improved northern goshawk optimization, support vector machine, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/20/8591; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/038b4e8c163e43e1a12a824a49281c29

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المؤلفون: Jing Ni, Xuansong Liu, Zhen Meng, Yiming Cui

المصدر: Machines, Vol 11, Iss 10, p 927 (2023)

مصطلحات موضوعية: tool wear state identification, attention mechanism, deep learning, infographic, vibroacoustic signal, Mechanical engineering and machinery, TJ1-1570

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-1702/11/10/927; https://doaj.org/toc/2075-1702

URL الوصول: https://doaj.org/article/dd6bd5c9a88e40f8b33af4ce8647c0e6

المؤلفون: Fu, Pan, Li, Jiang, Li, Weilin, Hope, A.D.

المصدر: 2010 Sixth International Conference on Natural Computation Natural Computation (ICNC), 2010 Sixth International Conference on. 3:1344-1348 Aug, 2010

Relation: 2010 Sixth International Conference on Natural Computation (ICNC)

المؤلفون: Li, Guofa^{Aff1, Aff2}, Wang, Yanbo^{Aff1, Aff2}, He, Jialong^{Aff1, Aff2}, Hao, Qingbo, Yang, Haiji^{Aff1, Aff2}, Wei, Jingfeng^{Aff1, Aff2}

المصدر: The International Journal of Advanced Manufacturing Technology. 110(1-2):511-522