Abstract
This paper attempts to detect and predict the preload loss and life time of the ball screw demands in the machine tool industry. Loss of preload leads to a lower natural frequency and the onset of the nonlinear spring characteristics of the ball screw. Such problems result in rapid downtime in the manufacturing process and gradually undetermined positioning errors. In this paper the preload features are extracted and discriminated using the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) method. The starting torque and consecutive quasi steady state constant currents of the machine tool feeding table are conducted experimentally. The test results show the prognostic status of ball screw preload loss can be envisaged by the proposed methodology.
| Original language | English |
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| Title of host publication | 2010 IEEE International Conference on Information and Automation, ICIA 2010 |
| Pages | 376-380 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 Aug 24 |
| Event | 2010 IEEE International Conference on Information and Automation, ICIA 2010 - Harbin, Heilongjiang, China Duration: 2010 Jun 20 → 2010 Jun 23 |
Publication series
| Name | 2010 IEEE International Conference on Information and Automation, ICIA 2010 |
|---|
Other
| Other | 2010 IEEE International Conference on Information and Automation, ICIA 2010 |
|---|---|
| Country | China |
| City | Harbin, Heilongjiang |
| Period | 10-06-20 → 10-06-23 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Control and Systems Engineering
Cite this
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Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method. / Chang, Jun Liang; Chao, Jen Ai; Huang, Yi Cheng; Chen, Jen Shueng.
2010 IEEE International Conference on Information and Automation, ICIA 2010. 2010. p. 376-380 5512064 (2010 IEEE International Conference on Information and Automation, ICIA 2010).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method
AU - Chang, Jun Liang
AU - Chao, Jen Ai
AU - Huang, Yi Cheng
AU - Chen, Jen Shueng
PY - 2010/8/24
Y1 - 2010/8/24
N2 - This paper attempts to detect and predict the preload loss and life time of the ball screw demands in the machine tool industry. Loss of preload leads to a lower natural frequency and the onset of the nonlinear spring characteristics of the ball screw. Such problems result in rapid downtime in the manufacturing process and gradually undetermined positioning errors. In this paper the preload features are extracted and discriminated using the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) method. The starting torque and consecutive quasi steady state constant currents of the machine tool feeding table are conducted experimentally. The test results show the prognostic status of ball screw preload loss can be envisaged by the proposed methodology.
AB - This paper attempts to detect and predict the preload loss and life time of the ball screw demands in the machine tool industry. Loss of preload leads to a lower natural frequency and the onset of the nonlinear spring characteristics of the ball screw. Such problems result in rapid downtime in the manufacturing process and gradually undetermined positioning errors. In this paper the preload features are extracted and discriminated using the Hilbert-Huang Transform (HHT) and Multiscale entropy (MSE) method. The starting torque and consecutive quasi steady state constant currents of the machine tool feeding table are conducted experimentally. The test results show the prognostic status of ball screw preload loss can be envisaged by the proposed methodology.
UR - http://www.scopus.com/inward/record.url?scp=77955746570&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955746570&partnerID=8YFLogxK
U2 - 10.1109/ICINFA.2010.5512064
DO - 10.1109/ICINFA.2010.5512064
M3 - Conference contribution
AN - SCOPUS:77955746570
SN - 9781424457021
T3 - 2010 IEEE International Conference on Information and Automation, ICIA 2010
SP - 376
EP - 380
BT - 2010 IEEE International Conference on Information and Automation, ICIA 2010
ER -