A Temperature Sensor Clustering Method for Thermal Error Modeling of Heavy Milling Machine Tools
A clustering method is an effective way to select the proper temperature sensor location for thermal error modeling of machine tools. In this paper, a new temperature sensor clustering method is proposed. By analyzing the characteristics of the temperature of the sensors in a heavy floor-type millin...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-01-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | http://www.mdpi.com/2076-3417/7/1/82 |