Analysis of tool wear condition based on logarithm energy entropy and wavelet packet transformation

ICICIP 2012 - 2012 3rd International Conference on Intelligent Control and Information Processing

Volumn , Issue , 2012, Pages 22-25

  Xi, Jianhui ^a   Zhang, Mo ^a   Jiang, Liying ^a  

^a SHENYANG AEROSPACE UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSION SIGNAL; AE SIGNALS; CHARACTERISTIC PARAMETER; ENERGY-ENTROPY; FREQUENCY SCALE; MAIN FREQUENCY; SIGNAL BEHAVIOR; TIME FREQUENCY; TOOL CUTTING; TOOL WEAR; WAVELET COEFFICIENTS; WAVELET PACKET TRANSFORMATIONS;

DATA PROCESSING; INTELLIGENT CONTROL; WEAR OF MATERIALS;

ENTROPY;

EID: 84872351587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIP.2012.6391472     Document Type: Conference Paper

References (3)

1. E. Jantunen, "A summary of methods applied to tool condition monitoring in drilling," International Journal of Machine Tool & Manufacture, Vol. 42, pp. 997-1010, 2002.
2. X. L. Li, "A brief review: acoustic emission method for tool wear monitoring during turning," International Journal of Machine Tool & Manufacture, Vol. 42, pp. 157-165, 2002.
3. K. P. Zhu, Y. S. Wong, and G. S, Hong, "Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results," International Journal of Machine Tools & Manufacture, Vol. 49, pp. 537-553, 2009.