Skip to main content

Investigation on Acoustic Signals for On-line Monitoring of Welding

  • Conference paper
Robotic Welding, Intelligence and Automation

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 88))

Abstract

Aiming at on-line monitoring of welding quality based on the welding acoustics, a lot of works have been done in SJTU. This paper reviews the usefulness and source of the welding sound, the characteristics and processing of welding acoustics, also the modeling and pattern recognition of welding sound signals in GTAW welding. And all of these studies are valuable to achieve the on-line monitoring and controlling of the welding quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pal, K., Bhattacharya, S., Pal, S.K.: Investigation on arc sound and metal transfer modes for on-line monitoring in pulsed gas metal arc welding. Journal of Materials Processing Technology 210, 1397–1410 (2010)

    Article  Google Scholar 

  2. Matteson, A., Morris, R., Tate, R.: Real-Time GMAW Quality Classification using an Artificial Neural Network with Airborne Acoustic Signals as Inputs. In: Processing of the 12th International Conference on Offshore Mechanics and Arctic Engineering, III-A, pp. 273–278 (1993)

    Google Scholar 

  3. Kralj, V.: Biocybernetic investigations of hand movements of human operator in hand welding. IIW/IIS Doc.212-140-68 (1968)

    Google Scholar 

  4. Tam, J., Huissoon, J.: Developing Psycho-Acoustic Experiments in Gas Metal Arc Welding. In: International Conference on Mechatronics & Automation Niagara Falls, Canada, pp. 1112–1117 (July 2005)

    Google Scholar 

  5. Wang, J.F., Chen, B., Chen, H.B., Chen, S.B.: Analysis of arc sound characteristics for gas tungsten argon welding. Sensor Review 29(3), 240–249 (2009)

    Article  Google Scholar 

  6. Liu, J.L., Chen, Y.B., Xu, Q.H.: The relationship between laser welding sound and penetration. Transactions of The China Welding Institutinon 27(1), 72–80 (2006)

    Google Scholar 

  7. Hu, B.X., Huang, C.D., Long, A.L., Li, S.P.: The study of quality monitoring system based on the acoustic signal for all-position welding in pulse plasma weld. Welding 5, 17–20 (1980)

    Google Scholar 

  8. Ma, Y.Z., Jin, H., Liang, W.D., Zhang, P.X.: Signal characteristics of short-circuit GMAW arc sound and its formation mechanism. Journal of Gansu University of Technology 29(1), 11–14 (2003)

    Google Scholar 

  9. Chen, B.: Study on the Processing Method of Muti-sensor Information Fusion in Pulse GTAW. Shanghai Jiaotong University, Shanghai (2010)

    Google Scholar 

  10. Arata, Y., Futamata, K., Toh, T.: Investigation on welding arc sound (report III)-Effects of current waveforms on TIG welding arc sound. Transactions of JWR 8(2), 33–38 (1979)

    Google Scholar 

  11. Wen, J.L.: MIG Welding Arc Sound Experimental Preliminary Study. Coal Mine Machinery 30(9), 99–100 (2009)

    Google Scholar 

  12. Fan, D., Ma, Y.Z., Pei, H.D., Chen, J.H., Shi, Y.: Investigation on correlation of welding arc sound with welding spatter. Journal of Gansu University of Technology 23(3), 1–5 (1997)

    Google Scholar 

  13. Luo, Z., Hu, S.S.: Application of time-frequency analysis to air-borne acoustic signals of aluminum alloys spot welding. Transctions of The China Welding Institution 25(1), 36–40 (2004)

    Google Scholar 

  14. Liu, L.J., Yu, Z.W., Lan, H., Gao, H.M.: Separating technology of arc sound noise based on ICA in MIG welding  31(4), 53–58 (2010)

    Google Scholar 

  15. Liu, L.J., Lan, H., Yu, Z.W., Zhou, B.T.: Reducing noise techniques of arc sound signal. Transactions of the China Welding Institution 30(12), 13–17 (2009)

    Google Scholar 

  16. Jun, L.L., Lan, H., Wen, J.L., Yu, Z.W.: Feature extraction of penetration arc sound in MIG welding via wavelet packet frequency-band energy. Transactions of the China Welding Institution 31(1), 45–50 (2010)

    Google Scholar 

  17. Xue, W., Nan yuan, Y.C., et al.: The develop of monitoring system in plasma arc cutting via acoustic. In: The 2nd Sensor Technology Conference in Yangtze River Delta, vol. 11 (2006)

    Google Scholar 

  18. Bu, X.Z., Shan, P., Luo, Z., Tang, X.X.: Characteristic extraction of acoustic signals emitted from resistance spot welding process based on independent component analysis. Transactions of the China Welding Institution 30(2), 41–45 (2009)

    Google Scholar 

  19. Liu, L.J., Lan, H., Wen, J.L., Yu, Z.W.: Feature extraction of penetration arc sound in MIG welding via wavelet packet frequency-band energy. Transactions of the China Welding Institution 31(1), 45–50 (2010)

    Google Scholar 

  20. Liu, L.J., Lan, H., Zheng, H.Y.: Feature evluation and selection of penetration arc sound signal based on neural network. Transactions of the China Welding Institution 31(3), 25–29 (2010)

    Google Scholar 

  21. Fan, D., Huang, J.K.: Droplet Transfer Pattern Recognition by SVM Based on Arc Acoustic ARMA Bispectrum Analysis. Journal of Shanghai Jiaotong University 42, 43–45 (2009)

    Google Scholar 

  22. Ma, Y.Z., Qu, M., Chen, J.H.: Pattern recognition of CO2-gas shield welding based on arc sound signal. Journal of Lanzhou University of Technology 32(4), 29–33 (2006)

    Google Scholar 

  23. Ma, Y.Z., Chen, J.H., Liang, W.D.: Parametric modeling of the arc sound GMAW for on-line quality monitoring. Chinese Journal of Mechanical Engineering 41(11), 109–114 (2005)

    Article  Google Scholar 

  24. Zhan, X.H., Liu, L.J.: Design of Speech Synthesizing Warning Card in Welding Process. Journal Harbin Univ. SCI.&TECH. 9(4), 1–4 (2004)

    Google Scholar 

  25. Liu, L.J., Wu, L.: Pronunciation reappearance technology in remote arc welding robot. Electric Welding Machine 35(6), 18–21 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lv, N., Chen, S. (2011). Investigation on Acoustic Signals for On-line Monitoring of Welding. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19959-2_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19958-5

  • Online ISBN: 978-3-642-19959-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics