Results 281 to 290 of about 8,584,927 (344)
Some of the next articles are maybe not open access.
Machine learning based very short term load forecasting of machine tools
Applied Energy, 2020With the ongoing integration of renewable energies into the electrical power grid, industrial energy flexibility gains importance. To enable demand response applications, knowledge about the future energy demand is necessary.
Bastian Dietrich +3 more
semanticscholar +1 more source
A method of NC machine tools intelligent monitoring system in smart factories
Robotics Comput. Integr. Manuf., 2020The construction of effectual connection to bridge the gap between physical machine tools and upper software applications is one of the inherent requirements for smart factories.
Wei Liu +4 more
semanticscholar +1 more source
, 2020
The data-driven thermal error compensation method of high-speed and precision five-axis machine tools was proposed based on the homogeneous transformation. The compensation component was obtained by analyzing the error transmission chain of machine tools
Jialan Liu, Chi Ma, Shilong Wang
semanticscholar +1 more source
The data-driven thermal error compensation method of high-speed and precision five-axis machine tools was proposed based on the homogeneous transformation. The compensation component was obtained by analyzing the error transmission chain of machine tools
Jialan Liu, Chi Ma, Shilong Wang
semanticscholar +1 more source
An investigation into reducing the spindle acceleration energy consumption of machine tools
Journal of Cleaner Production, 2017 Machine tools are widely used in the manufacturing industry, and consume large amount of energy. Spindle acceleration appears frequently while machine tools are working. It produces power peak which is highly energy intensive. As a result, a considerable
Jingxiang Lv, Yingfeng Zhang
exaly +2 more sources
Augmented Reality-assisted Intelligent Window for Cyber-Physical Machine Tools
Journal of Manufacturing Systems, 2017Chao Liu, Sheng Cao, Xun Xu
exaly +2 more sources
Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
IEEE transactions on industrial electronics (1982. Print), 2019In modern digital manufacturing, nearly 79.6% of the downtime of a machine tool is caused by its mechanical failures. Predictive maintenance (PdM) is a useful way to minimize the machine downtime and the associated costs.
Bo Luo +4 more
semanticscholar +1 more source
International Journal of Mechanical Sciences, 2019
This paper proposes a volumetric accuracy enhancement method of rotary axes in five-axis machine tools through constructing equivalent rotary axis (ERA).
Yang Liu +3 more
semanticscholar +1 more source
This paper proposes a volumetric accuracy enhancement method of rotary axes in five-axis machine tools through constructing equivalent rotary axis (ERA).
Yang Liu +3 more
semanticscholar +1 more source
International Conference on Human Factors in Computing Systems, 2020
Machine learning (ML) models are now routinely deployed in domains ranging from criminal justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and grown into an engineering discipline.
Harmanpreet Kaur +5 more
semanticscholar +1 more source
Machine learning (ML) models are now routinely deployed in domains ranging from criminal justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and grown into an engineering discipline.
Harmanpreet Kaur +5 more
semanticscholar +1 more source
Isis, 2016
In an earnest effort to clarify his historiographical choices, Frans van Lunteren characterizes his scheme as “analytic rather than historicist” and as providing “a pattern rather than a plot.” Clearly he is keener on panoramic painting than on storytelling.
openaire +2 more sources
In an earnest effort to clarify his historiographical choices, Frans van Lunteren characterizes his scheme as “analytic rather than historicist” and as providing “a pattern rather than a plot.” Clearly he is keener on panoramic painting than on storytelling.
openaire +2 more sources
International Journal of Mechanical Sciences, 2018
Geometric errors of five-axis machine tools, i.e. position independent and position dependent geometric errors (PIGEs and PDGEs), should be compensated in order to improve the machining precision of workpieces.
Yang Liu +4 more
semanticscholar +1 more source
Geometric errors of five-axis machine tools, i.e. position independent and position dependent geometric errors (PIGEs and PDGEs), should be compensated in order to improve the machining precision of workpieces.
Yang Liu +4 more
semanticscholar +1 more source