Multi‐sensor information fusion in pulsed GTAW based on fuzzy measure and fuzzy integral

Purpose – The status of welding process is difficult to monitor because of the intense disturbance during the process. The purpose of this paper is to use multiple sensors to obtain information about the process from different aspects and use multi‐sensor information fusion technology to fuse the information, to obtain more precise information about the process than using a single sensor alone.Design/methodology/approach – Arc sensor, visual sensor, and sound sensor were used simultaneously to obtain weld current, weld voltage, weld pool's image, and weld sound about the pulsed gas tungsten‐arc welding (GTAW) process. Then special algorithms were used to extract the signal features of different information. Fuzzy measure and fuzzy integral method were used to fuse the extracted signal features to predict the penetration status about the welding process.Findings – Experiment results show that fuzzy measure and fuzzy integral method can effectively utilize the information obtained by different sensors and o...

[1]  B. K. Christner DEVELOPING A GTAW PENETRATION CONTROL SYSTEM FOR THE TITAN IV PROGRAM , 1998 .

[2]  Jaakko Astola,et al.  Analysis of the properties of median and weighted median filters using threshold logic and stack filter representation , 1991, IEEE Trans. Signal Process..

[3]  Herbert A. Duvoisin,et al.  Multi-sensor system for mine detection , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[4]  Dongbin Zhao,et al.  Intelligent methodology for sensing, modeling and control of pulsed GTAW : Part 1 : Bead-on-plate welding , 2000 .

[5]  Lawrence A. Klein,et al.  Sensor and Data Fusion Concepts and Applications , 1993 .

[6]  菅野 道夫,et al.  Theory of fuzzy integrals and its applications , 1975 .

[7]  Xu,et al.  SPOT WELDING QUALITY FUZZY CONTROL SYSTEM BASED ON MULTISENSOR INFORMATION FUSION , 2007 .

[8]  D. L. Hall,et al.  Mathematical Techniques in Multisensor Data Fusion , 1992 .

[9]  Giovanni Ramponi,et al.  Fuzzy methods for multisensor data fusion , 1993 .

[10]  Feng Gao,et al.  Study on multi-sensor data fusion for the wheeled mobile robot , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[11]  Larry Jeffus,et al.  Welding and Metal Fabrication , 2011 .

[12]  Jocelyn Chanussot,et al.  Fuzzy fusion techniques for linear features detection in multitemporal SAR images , 1999, IEEE Trans. Geosci. Remote. Sens..

[13]  Przemyslaw Lopato,et al.  DATA FUSION OF EDDY CURRENT NDT SIGNALS , 2008 .

[14]  G. Banon,et al.  Distinction between several subsets of fuzzy measures , 1981 .

[15]  Chen Yimin,et al.  Sensor Data Fusion Using Rough Set for Mobile Robots System , 2006, 2006 2nd IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications.

[16]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Pietro Mario Lugarà,et al.  A sensing torch for on-line monitoring of the gas tungsten arc welding process of steel pipes , 2004 .

[18]  N. Athi,et al.  Multisensor fusion for on line monitoring of the quality of spot welding in automotive industry , 2008 .

[19]  Claudia V. Kropas-Hughes Data Fusion for NDT: What, Where, Why and How , 2003 .

[20]  Lijia Xu,et al.  Improvement of D-S evidential theory in multisensor data fusion system , 2004, Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788).

[21]  S. B. Chen,et al.  Intelligent methodology for sensing, modeling and control of pulsed GTAW : Part 2: Butt joint welding , 2000 .

[22]  M. Sugeno FUZZY MEASURES AND FUZZY INTEGRALS—A SURVEY , 1993 .

[23]  Shanben Chen,et al.  Visual sensing and penetration control in aluminum alloy pulsed GTA welding , 2009 .

[24]  Donald Fraser,et al.  Multisource data fusion with multiple self-organizing maps , 1999, IEEE Trans. Geosci. Remote. Sens..

[25]  Jian Wang,et al.  Obtaining weld pool vision information during aluminium alloy TIG welding , 2005 .

[26]  W. Duley,et al.  The effect of surface condition on acoustic emission during welding of aluminium with CO2 laser radiation , 1994 .

[27]  Tony J. Dodd,et al.  Multi-sensor data fusion in defence and aerospace , 1998, The Aeronautical Journal (1968).