Paper Title:
Research on Tool Condition Monitoring System in Auto-Balancing Machines
  Abstract

A drill set working condition monitoring system is introduced and investigated to improve the performance of auto-balancing machine. The experiment setup to acquire data of armature currents of spindle and servo motors is constructed. The features of the armature currents of both spindle motor and servo motor in time domain, frequency domain and time-frequency domain are extracted respectively, and they are fused separately by two distinct RBF ANNs to get the primary fusing results. The primary results are fused by the third RBF ANN to get a comprehensive result. Experiment results demonstrate that the servo motor current has a closer relation with drill set working condition than that of spindle motor, and two successive fusing operations can achieve more reliable recognition with a correctness up to 86.67%.

  Info
Periodical
Edited by
Yuri Chugui, Yongsheng Gao, Kuang-Chao Fan, Roald Taymanov and Ksenia Sapozhnikova
Pages
497-501
DOI
10.4028/www.scientific.net/KEM.437.497
Citation
D. D. Zhao, P. Cai, "Research on Tool Condition Monitoring System in Auto-Balancing Machines", Key Engineering Materials, Vol. 437, pp. 497-501, 2010
Online since
May 2010
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Price
$32.00
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