The data files contains all the thermal images and error data of the spindle in the experiment.

Dataset Files

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[1] Sitong Xiang, "Spindle thermal error prediction approach based on thermal infrared images: a deep learning method", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/vwp1-q708. Accessed: Apr. 12, 2024.
@data{vwp1-q708-20,
doi = {10.21227/vwp1-q708},
url = {http://dx.doi.org/10.21227/vwp1-q708},
author = {Sitong Xiang },
publisher = {IEEE Dataport},
title = {Spindle thermal error prediction approach based on thermal infrared images: a deep learning method},
year = {2020} }
TY - DATA
T1 - Spindle thermal error prediction approach based on thermal infrared images: a deep learning method
AU - Sitong Xiang
PY - 2020
PB - IEEE Dataport
UR - 10.21227/vwp1-q708
ER -
Sitong Xiang. (2020). Spindle thermal error prediction approach based on thermal infrared images: a deep learning method. IEEE Dataport. http://dx.doi.org/10.21227/vwp1-q708
Sitong Xiang, 2020. Spindle thermal error prediction approach based on thermal infrared images: a deep learning method. Available at: http://dx.doi.org/10.21227/vwp1-q708.
Sitong Xiang. (2020). "Spindle thermal error prediction approach based on thermal infrared images: a deep learning method." Web.
1. Sitong Xiang. Spindle thermal error prediction approach based on thermal infrared images: a deep learning method [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/vwp1-q708
Sitong Xiang. "Spindle thermal error prediction approach based on thermal infrared images: a deep learning method." doi: 10.21227/vwp1-q708