ENG  Vol.3 No.2 , February 2011
Time-Frequency Entropy Analysis of Arc Signal in Non-Stationary Submerged Arc Welding
Abstract
The use of time-frequency entropy to quantitatively assess the stability of submerged arc welding process considering the distribution features of arc energy is reported in this paper. Time-frequency entropy is employed to calculate and analyze the stationary current signals, non-stationary current and voltage signals in the submerged arc welding process. It is obtained that time-frequency entropy of arc signal can be used as arc stability judgment criteria of submerged arc welding. Experimental results are provided to confirm the effectiveness of this approach.

Cite this paper
nullK. He, S. Xiao, J. Wu and G. Wang, "Time-Frequency Entropy Analysis of Arc Signal in Non-Stationary Submerged Arc Welding," Engineering, Vol. 3 No. 2, 2011, pp. 105-109. doi: 10.4236/eng.2011.32013.
References

[1]   D. S. Tusek, “Mathematical Modeling of Melting Rate in Twin-Wire Welding,” Journal of Materials Processing Tech-nology, Vol. 100, No. 1-3, 2000, pp. 250-256. doi:10. 1016/S0924-0136(99)00485-9

[2]   L. Yi, “Application of Joint Time-Frequency Analysis to Electrical Signals of CO2 Arc Welding,” Transactions of the China Welding Institution, Vol. 28, No. 2, 2007. pp. 75-78.

[3]   L. Cohen, “Time Frequency Analysis: Theory and Applications,” Prentice Hall, New Jersey, 1995.

[4]   J. H. Dong, H. M. Gu and X.Zhang, “A Comparison of Time-Frequency Analysis Methods and Their Applications,” Chinese Journal of Engineering Geophysics, Vol 4, No. 4, 2007, pp. 312-316.

[5]   Z. Q. Tian and Y. Zhou, “The Certification of the Fundamental Properties of Comentropy,” Journal of Inner Mongolia Normal University (Natural Science Edition), Vol. 31, No. 4, 2002, pp.347-350.

[6]   J. Lin and L. S. Qu, “Application of Time-Frequency Entropy to Crack Identification,” Journal of Mechanical Transmission, Vol. 22, No. 2, 1998, pp. 37-39.

[7]   D. J. Yu, W. Zhang and J. S. Cheng, “Application of Time-Frequency Entropy to Gear Fault Diagnosis Based on Emd,” Journal of Vibration and Shock, Vol. 24, No. 5, 2005, pp. 26-29.

 
 
Top