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.
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References
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)
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)
Kralj, V.: Biocybernetic investigations of hand movements of human operator in hand welding. IIW/IIS Doc.212-140-68 (1968)
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)
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)
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)
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)
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)
Chen, B.: Study on the Processing Method of Muti-sensor Information Fusion in Pulse GTAW. Shanghai Jiaotong University, Shanghai (2010)
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)
Wen, J.L.: MIG Welding Arc Sound Experimental Preliminary Study. Coal Mine Machinery 30(9), 99–100 (2009)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Liu, L.J., Wu, L.: Pronunciation reappearance technology in remote arc welding robot. Electric Welding Machine 35(6), 18–21 (2005)
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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
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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
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