{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T04:56:52Z","timestamp":1770526612517,"version":"3.49.0"},"reference-count":21,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2010,3,8]],"date-time":"2010-03-08T00:00:00Z","timestamp":1268006400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,3,8]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>Welding sensor technology is the key technology in welding process, but a single sensor cannot acquire adequate information to describe welding status. This paper addresses arc sensor and sound sensor to acquire the voltage and sound information of pulsed gas tungsten arc welding (GTAW) simultaneously, and uses multi\u2010sensor information fusion technology to fuse the information acquired by the two sensors. The purpose of this paper is to explore the feasibility and effectiveness of multi\u2010sensor information fusion in pulsed GTAW.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The weld voltage and weld sound information are first acquired by arc sensor and sound sensor, then the features of the two signals are extracted, and the features are fused by weighted mean method to predict the changes of arc length. The weights of each feature are determined by optional distribution method.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The research findings show that multi\u2010sensor information fusion technology can effectively utilize the information of different sensors and get better result than single sensor.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The arc sensor and sound sensor are first used at the same time to get information about pulsed GTAW and the fusion result shows its advantages over single sensor; this reveals that multi\u2010sensor fusion technology is a valuable research area in welding process.<\/jats:p><\/jats:sec>","DOI":"10.1108\/01439911011018948","type":"journal-article","created":{"date-parts":[[2010,2,20]],"date-time":"2010-02-20T07:02:45Z","timestamp":1266649365000},"page":"168-176","source":"Crossref","is-referenced-by-count":41,"title":["A study on application of multi\u2010sensor information fusion in pulsed GTAW"],"prefix":"10.1108","volume":"37","author":[{"given":"Bo","family":"Chen","sequence":"first","affiliation":[]},{"given":"Jifeng","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shanben","family":"Chen","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022021119561645400_b1","doi-asserted-by":"crossref","unstructured":"Ancona, A., Lugara, P.M., Ottonelli, F. and Catalano, I.M. (2004), \u201cA sensing torch for on\u2010line monitoring of the gas tungsten arc welding process of steel pipes\u201d, Measurement Science and Technology, Vol. 15 No. 12, pp. 2412\u20108.","DOI":"10.1088\/0957-0233\/15\/12\/010"},{"key":"key2022021119561645400_b2","doi-asserted-by":"crossref","unstructured":"Chady, T., Psuj, G. and Lopato, P. (2008), \u201cData fusion of eddy current NDT signals\u201d, AIP Conference Proceedings, Golden, CO, pp. 610\u20107.","DOI":"10.1063\/1.2902718"},{"key":"key2022021119561645400_b3","doi-asserted-by":"crossref","unstructured":"Chen, S.B. (2007a), \u201cOn the key technologies of intelligentized welding robot\u201d, Lecture Notes in Control and Information Sciences, Vol. 362, pp. 105\u201016.","DOI":"10.1007\/978-3-540-73374-4_12"},{"key":"key2022021119561645400_b4","doi-asserted-by":"crossref","unstructured":"Chen, S.B. 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