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.

• Periodical: Advanced Materials Research (Volumes 156-157)
• Pages: 1717-1724
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.156-157.1717
• Online since: October 2010
• Authors: Nan Kai Hsieh, Wei Yen Lin, Hong Tsu Young
• Keywords: Empirical Mode Decomposition (EMD), IMF, Shaft

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