Paper Title:
Development of Diagnosis System for Machine Tool Shaft Inspection
  Abstract

Aiming at reducing cost and time of repair, condition-based shaft faults diagnosis is considered an efficient strategy for machine tool community. While the shaft with faults is operating, its vibration signals normally indicate nonlinear and non-stationary characteristics but Fourier-based approaches have shown limitations for handling this kind of signals. The methodology proposed in this research is to extract the features from shaft faults related vibration signals, from which the corresponding fault condition is then effectively identified. With an incorporation of empirical mode decomposition (EMD) method, the model applied in this research embraces some characteristics, like zero-crossing rate and energy, of intrinsic mode functions (IMFs) to represent the feature of the shaft condition.

  Info
Periodical
Advanced Materials Research (Volumes 156-157)
Edited by
Jingtao Han, Zhengyi Jiang and Sihai Jiao
Pages
1717-1724
DOI
10.4028/www.scientific.net/AMR.156-157.1717
Citation
N. K. Hsieh, W. Y. Lin, H. T. Young, "Development of Diagnosis System for Machine Tool Shaft Inspection", Advanced Materials Research, Vols. 156-157, pp. 1717-1724, 2011
Online since
October 2010
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Price
$32.00
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