Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method

Jun Liang Chang, Jen Ai Chao, Yi Cheng Huang, Jen Shueng Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

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 languageEnglish
Title of host publication2010 IEEE International Conference on Information and Automation, ICIA 2010
Pages376-380
Number of pages5
DOIs
Publication statusPublished - 2010 Aug 24
Event2010 IEEE International Conference on Information and Automation, ICIA 2010 - Harbin, Heilongjiang, China
Duration: 2010 Jun 202010 Jun 23

Publication series

Name2010 IEEE International Conference on Information and Automation, ICIA 2010

Other

Other2010 IEEE International Conference on Information and Automation, ICIA 2010
CountryChina
CityHarbin, Heilongjiang
Period10-06-2010-06-23

Fingerprint

Ball screws
Machine tools
Entropy
Experiments
Natural frequencies
Torque
Mathematical transformations
Industry

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Control and Systems Engineering

Cite this

Chang, J. L., Chao, J. A., Huang, Y. C., & Chen, J. S. (2010). Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method. In 2010 IEEE International Conference on Information and Automation, ICIA 2010 (pp. 376-380). [5512064] (2010 IEEE International Conference on Information and Automation, ICIA 2010). https://doi.org/10.1109/ICINFA.2010.5512064
Chang, Jun Liang ; Chao, Jen Ai ; Huang, Yi Cheng ; Chen, Jen Shueng. / Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method. 2010 IEEE International Conference on Information and Automation, ICIA 2010. 2010. pp. 376-380 (2010 IEEE International Conference on Information and Automation, ICIA 2010).
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Chang, JL, Chao, JA, Huang, YC & Chen, JS 2010, Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method. in 2010 IEEE International Conference on Information and Automation, ICIA 2010., 5512064, 2010 IEEE International Conference on Information and Automation, ICIA 2010, pp. 376-380, 2010 IEEE International Conference on Information and Automation, ICIA 2010, Harbin, Heilongjiang, China, 10-06-20. https://doi.org/10.1109/ICINFA.2010.5512064

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 proceedingConference contribution

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Chang JL, Chao JA, Huang YC, Chen JS. Prognostic experiment for ball screw preload loss of machine tool through the Hilbert-Huang transform and multiscale entropy method. In 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). https://doi.org/10.1109/ICINFA.2010.5512064