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Erschienen in: The International Journal of Advanced Manufacturing Technology 3-4/2020

18.08.2020 | ORIGINAL ARTICLE

Advances techniques of the structured light sensing in intelligent welding robots: a review

verfasst von: Lei Yang, Yanhong Liu, Jinzhu Peng

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 3-4/2020

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Abstract

With the rapid development of artificial intelligence and intelligent manufacturing, the traditional teaching-playback mode and the off-line programming (OLP) mode cannot meet the flexible and fast modern manufacturing mode. Therefore, the intelligent welding robots have been widely developed and applied into the industrial production lines to improve the manufacturing efficiency. The sensing system of welding robots is one of the key technologies to realize the intelligent robot welding. Due to its unique characteristics of good robustness and high precision, the structured light sensor has been widely developed in the intelligent welding robots. To adapt to different measurement tasks of the welding robots, many researchers have designed different structured light sensors and integrated them into the intelligent welding robots. Therefore, the latest research and application work about the structured light sensors in the intelligent welding robots is analyzed and summarized, such as initial weld position identification, parameter extraction, seam tracking, monitoring of welding pool, and welding quality detection, to provide a comprehensive reference for researchers engaged in these related research work as much as possible.

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Literatur
1.
Zurück zum Zitat Mitsi S, Bouzakis K-D, Mansour G, Sagris D, Maliaris G (2005) Off-line programming of an industrial robot for manufacturing. Int J Adv Manuf Technol 26(3):262–267 Mitsi S, Bouzakis K-D, Mansour G, Sagris D, Maliaris G (2005) Off-line programming of an industrial robot for manufacturing. Int J Adv Manuf Technol 26(3):262–267
2.
Zurück zum Zitat Chan SF, Kwan R (2003) Post-processing methodologies for off-line robot programming within computer integrated manufacture. J Mater Process Tech 139(1–3):8–14 Chan SF, Kwan R (2003) Post-processing methodologies for off-line robot programming within computer integrated manufacture. J Mater Process Tech 139(1–3):8–14
3.
Zurück zum Zitat Maiolino P, Woolley R, Branson D, Benardos P, Popov A, Ratchev S (2017) Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming. Robotics Comput Integr Manuf 48:188–195 Maiolino P, Woolley R, Branson D, Benardos P, Popov A, Ratchev S (2017) Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming. Robotics Comput Integr Manuf 48:188–195
4.
Zurück zum Zitat Ong SK, Chong JWS, Nee AYC (2010) A novel AR-based robot programming and path planning methodology. Robotics Comput Integr Manuf 26(3):240–249 Ong SK, Chong JWS, Nee AYC (2010) A novel AR-based robot programming and path planning methodology. Robotics Comput Integr Manuf 26(3):240–249
5.
Zurück zum Zitat Le J, Zhang H, Xiao (2017) Circular fillet weld tracking in GMAW by robots based on rotating arc sensors. Int J Adv Manuf Technol 88(9-12):2705–2715 Le J, Zhang H, Xiao (2017) Circular fillet weld tracking in GMAW by robots based on rotating arc sensors. Int J Adv Manuf Technol 88(9-12):2705–2715
6.
Zurück zum Zitat Le J, Zhang H, Chen XQ (2018) Realization of rectangular fillet weld tracking based on rotating arc sensors and analysis of experimental results in gas metal arc welding. Robotics Comput Integr Manuf 49:263–276 Le J, Zhang H, Chen XQ (2018) Realization of rectangular fillet weld tracking based on rotating arc sensors and analysis of experimental results in gas metal arc welding. Robotics Comput Integr Manuf 49:263–276
7.
Zurück zum Zitat Zhang S, Shengsun Hu, Wang Z (2016) Weld penetration sensing in pulsed gas tungsten arc welding based on arc voltage. J Mater Process Tech 229:520–527 Zhang S, Shengsun Hu, Wang Z (2016) Weld penetration sensing in pulsed gas tungsten arc welding based on arc voltage. J Mater Process Tech 229:520–527
8.
Zurück zum Zitat Russell AM, Becker AT, Chumbley LS, Enyart DA, Bowersox BL, Hanigan TW, Labbe JL, Moran JS, Spicher EL, Zhong L (2016) A survey of flaws near welds detected by side angle ultrasound examination of anhydrous ammonia nurse tanks. J Loss Prevent Proc 43:263–272 Russell AM, Becker AT, Chumbley LS, Enyart DA, Bowersox BL, Hanigan TW, Labbe JL, Moran JS, Spicher EL, Zhong L (2016) A survey of flaws near welds detected by side angle ultrasound examination of anhydrous ammonia nurse tanks. J Loss Prevent Proc 43:263–272
9.
Zurück zum Zitat Chen C, Fan C, Lin S, Cai X, Yang C, Zhou L (2019) Influence of pulsed ultrasound on short transfer behaviors in gas metal arc welding. J Mater Process Tech 267:376–383 Chen C, Fan C, Lin S, Cai X, Yang C, Zhou L (2019) Influence of pulsed ultrasound on short transfer behaviors in gas metal arc welding. J Mater Process Tech 267:376–383
10.
Zurück zum Zitat Petcher PA, Dixon S (2015) Weld defect detection using PPM EMAT generated shear horizontal ultrasound. NDT &E Int 74:58–65 Petcher PA, Dixon S (2015) Weld defect detection using PPM EMAT generated shear horizontal ultrasound. NDT &E Int 74:58–65
11.
Zurück zum Zitat Klimenov VA, Abzaev YuA, Potekaev AI, Vlasov VA, Klopotov AA, Zaitsev KV, Chumaevskii AV, Porobova SA, Grinkevich LS, Tazin ID (2016) Structural state of a weld formed in aluminum alloy by friction stir welding and treated by ultrasound. Russ Phys J + 59(7):971–977 Klimenov VA, Abzaev YuA, Potekaev AI, Vlasov VA, Klopotov AA, Zaitsev KV, Chumaevskii AV, Porobova SA, Grinkevich LS, Tazin ID (2016) Structural state of a weld formed in aluminum alloy by friction stir welding and treated by ultrasound. Russ Phys J + 59(7):971–977
12.
Zurück zum Zitat Zhu J, Wang J, Su N, Xu G, Yang M (2017) An infrared visual sensing detection approach for swing arc narrow gap weld deviation. J Mater Process Tech 243:258–268 Zhu J, Wang J, Su N, Xu G, Yang M (2017) An infrared visual sensing detection approach for swing arc narrow gap weld deviation. J Mater Process Tech 243:258–268
13.
Zurück zum Zitat Yu P, Xu G, Gu X, Zhou G, Tian Y (2017) A low-cost infrared sensing system for monitoring the MIG welding process. Int J Adv Manuf Technol 92(9–12):4031–4038 Yu P, Xu G, Gu X, Zhou G, Tian Y (2017) A low-cost infrared sensing system for monitoring the MIG welding process. Int J Adv Manuf Technol 92(9–12):4031–4038
14.
Zurück zum Zitat Wikle Iii HC, Kottilingam S, Zee RH, Chin BA (2001) Infrared sensing techniques for penetration depth control of the submerged arc welding process. J Mater Process Tech 113(1-3):228–233 Wikle Iii HC, Kottilingam S, Zee RH, Chin BA (2001) Infrared sensing techniques for penetration depth control of the submerged arc welding process. J Mater Process Tech 113(1-3):228–233
15.
Zurück zum Zitat Bai P, Wang Z, Hu S, Ma S, Liang Y (2017) Sensing of the weld penetration at the beginning of pulsed gas metal arc welding. J Manuf Process 28:343–350 Bai P, Wang Z, Hu S, Ma S, Liang Y (2017) Sensing of the weld penetration at the beginning of pulsed gas metal arc welding. J Manuf Process 28:343–350
16.
Zurück zum Zitat Bo C, Wang J, Chen S (2010) A study on application of multi-sensor information fusion in pulsed GTAW. Ind Robot 37(2):168–176 Bo C, Wang J, Chen S (2010) A study on application of multi-sensor information fusion in pulsed GTAW. Ind Robot 37(2):168–176
17.
Zurück zum Zitat Pal K, Pal SK (2010) Study of weld joint strength using sensor signals for various torch angles in pulsed MIG welding. CIRP Ann-Manuf Techn 3(1):55–65 Pal K, Pal SK (2010) Study of weld joint strength using sensor signals for various torch angles in pulsed MIG welding. CIRP Ann-Manuf Techn 3(1):55–65
18.
Zurück zum Zitat Bo C, Chen S (2010) Multi-sensor information fusion in pulsed gtaw based on fuzzy measure and fuzzy integral. Assembly Autom 30(3):276–285 Bo C, Chen S (2010) Multi-sensor information fusion in pulsed gtaw based on fuzzy measure and fuzzy integral. Assembly Autom 30(3):276–285
19.
Zurück zum Zitat Gao X, Liu Y, You D (2014) Detection of micro-weld joint by magneto-optical imaging. Opt Laser Technol 62:141–151 Gao X, Liu Y, You D (2014) Detection of micro-weld joint by magneto-optical imaging. Opt Laser Technol 62:141–151
20.
Zurück zum Zitat Gao X, Chen Y (2014) Detection of micro gap weld using magneto-optical imaging during laser welding. Int J Adv Manuf Technol 73(1–4):23–33 Gao X, Chen Y (2014) Detection of micro gap weld using magneto-optical imaging during laser welding. Int J Adv Manuf Technol 73(1–4):23–33
21.
Zurück zum Zitat Gao X, Mo L, Xiao Z, Chen X, Katayama S (2016) Seam tracking based on Kalman filtering of micro-gap weld using magneto-optical image. Int J Adv Manuf Technol 83(1–4):21–32 Gao X, Mo L, Xiao Z, Chen X, Katayama S (2016) Seam tracking based on Kalman filtering of micro-gap weld using magneto-optical image. Int J Adv Manuf Technol 83(1–4):21–32
22.
Zurück zum Zitat Gao X, Zhen R, Xiao Z, Katayama S (2015) Modeling for detecting micro-gap weld based on magneto-optical imaging. J Manuf Syst 37:193–200 Gao X, Zhen R, Xiao Z, Katayama S (2015) Modeling for detecting micro-gap weld based on magneto-optical imaging. J Manuf Syst 37:193–200
23.
Zurück zum Zitat Sun J, Li C, Wu X, Palade V, Fang W (2019) An effective method of weld defect detection and classification based on machine vision. IEEE T Ind Inform Sun J, Li C, Wu X, Palade V, Fang W (2019) An effective method of weld defect detection and classification based on machine vision. IEEE T Ind Inform
24.
Zurück zum Zitat Zhao Z, Deng L, Bai L, Yi Z, Han J (2019) Optimal imaging band selection mechanism of weld pool vision based on spectrum analysis. Opt Laser Technol 110:145–151 Zhao Z, Deng L, Bai L, Yi Z, Han J (2019) Optimal imaging band selection mechanism of weld pool vision based on spectrum analysis. Opt Laser Technol 110:145–151
25.
Zurück zum Zitat Xiong J, Zou S (2019) Active vision sensing and feedback control of back penetration for thin sheet aluminum alloy in pulsed MIG suspension welding. J Process Contr 77:89–96 Xiong J, Zou S (2019) Active vision sensing and feedback control of back penetration for thin sheet aluminum alloy in pulsed MIG suspension welding. J Process Contr 77:89–96
26.
Zurück zum Zitat Abu-Nabah BA, ElSoussi AO, Alami A, ElRahman KA (2018) Virtual laser vision sensor environment assessment for surface profiling applications. Measurement 113:148–160 Abu-Nabah BA, ElSoussi AO, Alami A, ElRahman KA (2018) Virtual laser vision sensor environment assessment for surface profiling applications. Measurement 113:148–160
27.
Zurück zum Zitat Abu-Nabah BA, ElSoussi AO, Alami A, ElRahman KA (2016) Simple laser vision sensor calibration for surface profiling applications. Opt Laser Eng 84:51–61 Abu-Nabah BA, ElSoussi AO, Alami A, ElRahman KA (2016) Simple laser vision sensor calibration for surface profiling applications. Opt Laser Eng 84:51–61
28.
Zurück zum Zitat Rout A, Deepak BBVL, Biswal BB (2019) Advances in weld seam tracking techniques for robotic welding: a review. Robotics Comput Integr Manuf 56:12–37 Rout A, Deepak BBVL, Biswal BB (2019) Advances in weld seam tracking techniques for robotic welding: a review. Robotics Comput Integr Manuf 56:12–37
29.
Zurück zum Zitat Wang X, Li B, Zhang T (2018) Robust discriminant correlation filter-based weld seam tracking system. Int J Adv Manuf Technol 98(9–12):3029–3039 Wang X, Li B, Zhang T (2018) Robust discriminant correlation filter-based weld seam tracking system. Int J Adv Manuf Technol 98(9–12):3029–3039
30.
Zurück zum Zitat Zhang Y-x, You D-y, Gao X-d, Na S-J (2018) Automatic gap tracking during high power laser welding based on particle filtering method and BP neural network. Int J Adv Manuf Technol 96(1–4):685–696 Zhang Y-x, You D-y, Gao X-d, Na S-J (2018) Automatic gap tracking during high power laser welding based on particle filtering method and BP neural network. Int J Adv Manuf Technol 96(1–4):685–696
31.
Zurück zum Zitat Xu Y, Gu F, Chen S, Ju JZ, Ye Z (2014) Real-time image processing for vision-based weld seam tracking in robotic GMAW. Int J Adv Manuf Technol 73(9–12):1413–1425 Xu Y, Gu F, Chen S, Ju JZ, Ye Z (2014) Real-time image processing for vision-based weld seam tracking in robotic GMAW. Int J Adv Manuf Technol 73(9–12):1413–1425
32.
Zurück zum Zitat Zhang K, Yan M, Huang T, Zheng J, Li Z (2019) 3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning. J Manuf Process 39:200–207 Zhang K, Yan M, Huang T, Zheng J, Li Z (2019) 3D reconstruction of complex spatial weld seam for autonomous welding by laser structured light scanning. J Manuf Process 39:200–207
33.
Zurück zum Zitat He Y, Xu Y, Chen Y, Chen H, Chen S (2016) Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model. Robotics Comput Integr Manuf 37:251–261 He Y, Xu Y, Chen Y, Chen H, Chen S (2016) Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model. Robotics Comput Integr Manuf 37:251–261
34.
Zurück zum Zitat Xu Y, Gu F, Lv N, Chen S, Ju JZ (2015) Computer vision technology for seam tracking in robotic GTAW and GMAW. Robotics Comput Integr Manuf 32:25–36 Xu Y, Gu F, Lv N, Chen S, Ju JZ (2015) Computer vision technology for seam tracking in robotic GTAW and GMAW. Robotics Comput Integr Manuf 32:25–36
35.
Zurück zum Zitat Yang L, Li E, Long T, Fan J, Mao Y, Fang Z, Liang Z (2018) A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm. Int J Adv Manuf Technol 94 (1–4):1209–1220 Yang L, Li E, Long T, Fan J, Mao Y, Fang Z, Liang Z (2018) A welding quality detection method for arc welding robot based on 3D reconstruction with SFS algorithm. Int J Adv Manuf Technol 94 (1–4):1209–1220
36.
Zurück zum Zitat Xiong J, Zou S (2019) Active vision sensing and feedback control of back penetration for thin sheet aluminum alloy in pulsed MIG suspension welding. J Process Contr 77:89–96 Xiong J, Zou S (2019) Active vision sensing and feedback control of back penetration for thin sheet aluminum alloy in pulsed MIG suspension welding. J Process Contr 77:89–96
37.
Zurück zum Zitat Zhang Z, Chen H, Xu Y, Zhong J, Lv N, Chen S (2015) Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding. Mech Syst Signal Pr 60:151–165 Zhang Z, Chen H, Xu Y, Zhong J, Lv N, Chen S (2015) Multisensor-based real-time quality monitoring by means of feature extraction, selection and modeling for Al alloy in arc welding. Mech Syst Signal Pr 60:151–165
38.
Zurück zum Zitat Han Y, Fan J, Yang X (2020) A structured light vision sensor for on-line weld bead measurement and weld quality inspection. Int J Adv Manuf Technol 106(5):2065–2078 Han Y, Fan J, Yang X (2020) A structured light vision sensor for on-line weld bead measurement and weld quality inspection. Int J Adv Manuf Technol 106(5):2065–2078
39.
Zurück zum Zitat Ye D, Hong GS, Zhang Y, Zhu K, Fuh JYH (2018) Defect detection in selective laser melting technology by acoustic signals with deep belief networks. Int J Adv Manuf Technol 96(5–8):2791–2801 Ye D, Hong GS, Zhang Y, Zhu K, Fuh JYH (2018) Defect detection in selective laser melting technology by acoustic signals with deep belief networks. Int J Adv Manuf Technol 96(5–8):2791–2801
40.
Zurück zum Zitat Lin J, Yu Y, Ma L, Wang Y (2018) Detection of a casting defect tracked by deep convolution neural network. Int J Adv Manuf Technol 97(1–4):573–581 Lin J, Yu Y, Ma L, Wang Y (2018) Detection of a casting defect tracked by deep convolution neural network. Int J Adv Manuf Technol 97(1–4):573–581
41.
Zurück zum Zitat Fan J, Jing F, Yang L, Long T, Tan M (2019) An initial point alignment method of narrow weld using laser vision sensor. Int J Adv Manuf Technol, 1–12 Fan J, Jing F, Yang L, Long T, Tan M (2019) An initial point alignment method of narrow weld using laser vision sensor. Int J Adv Manuf Technol, 1–12
42.
Zurück zum Zitat Zhang L, Ye Q, Yang W, Jiao J (2014) Weld line detection and tracking via spatial-temporal cascaded hidden Markov models and cross structured light. IEEE T Instrum Meas 63(4):742–753 Zhang L, Ye Q, Yang W, Jiao J (2014) Weld line detection and tracking via spatial-temporal cascaded hidden Markov models and cross structured light. IEEE T Instrum Meas 63(4):742–753
43.
Zurück zum Zitat Zhang G, Yu S, Gu YF, Fan D (2017) Welding torch attitude-based study of human welder interactive behavior with weld pool in gtaw. Robotics Comput Integr Manuf 48:145–156 Zhang G, Yu S, Gu YF, Fan D (2017) Welding torch attitude-based study of human welder interactive behavior with weld pool in gtaw. Robotics Comput Integr Manuf 48:145–156
44.
Zurück zum Zitat Xu P, Tang X, Yao S (2008) Application of circular laser vision sensor (CLVS) on welded seam tracking. J Mater Process Tech 205(1–3):404–410 Xu P, Tang X, Yao S (2008) Application of circular laser vision sensor (CLVS) on welded seam tracking. J Mater Process Tech 205(1–3):404–410
45.
Zurück zum Zitat Zhang C, Li H, Jin Z, Gao H (2017) Seam sensing of multi-layer and multi-pass welding based on grid structured laser. Int J Adv Manuf Technol 91(1–4):1103–1110 Zhang C, Li H, Jin Z, Gao H (2017) Seam sensing of multi-layer and multi-pass welding based on grid structured laser. Int J Adv Manuf Technol 91(1–4):1103–1110
46.
Zurück zum Zitat Liu YK, Zhang WJ, Zhang YuM (2014) A tutorial on learning human welder’s behavior: sensing, modeling, and control. J Manuf Process 16(1):123–136 Liu YK, Zhang WJ, Zhang YuM (2014) A tutorial on learning human welder’s behavior: sensing, modeling, and control. J Manuf Process 16(1):123–136
47.
Zurück zum Zitat Iakovou D, Aarts R, Meijer J (2005) Sensor integration for robotic laser welding processes. In: International Congress on Applications of Lasers & Electro-Optics, pp 2301–2309. LIA Iakovou D, Aarts R, Meijer J (2005) Sensor integration for robotic laser welding processes. In: International Congress on Applications of Lasers & Electro-Optics, pp 2301–2309. LIA
48.
Zurück zum Zitat Xiao Z (2011) Research on a trilines laser vision sensor for seam tracking in welding. In: Robotic welding, intelligence and automation. Springer, pp 139–144 Xiao Z (2011) Research on a trilines laser vision sensor for seam tracking in welding. In: Robotic welding, intelligence and automation. Springer, pp 139–144
49.
Zurück zum Zitat Zhu YZh, Lin T, Piao YJ, Chen SB (2005) Recognition of the initial position of weld based on the image pattern match technology for welding robot. Int J Adv Manuf Technol 26(7–8):784–788 Zhu YZh, Lin T, Piao YJ, Chen SB (2005) Recognition of the initial position of weld based on the image pattern match technology for welding robot. Int J Adv Manuf Technol 26(7–8):784–788
50.
Zurück zum Zitat Chen X, Chen S, Lin T, Lei Y (2006) Practical method to locate the initial weld position using visual technology. Int J Adv Manuf Technol 30(7–8):663–668 Chen X, Chen S, Lin T, Lei Y (2006) Practical method to locate the initial weld position using visual technology. Int J Adv Manuf Technol 30(7–8):663–668
51.
Zurück zum Zitat Chen X, Chen S (2010) The autonomous detection and guiding of start welding position for arc welding robot. Ind Robot 37(1):70–78 Chen X, Chen S (2010) The autonomous detection and guiding of start welding position for arc welding robot. Ind Robot 37(1):70–78
52.
Zurück zum Zitat Fang Z, Xu D, Tan M (2013) Vision-based initial weld point positioning using the geometric relationship between two seams. Int J Adv Manuf Technol 66(9–12):1535–1543 Fang Z, Xu D, Tan M (2013) Vision-based initial weld point positioning using the geometric relationship between two seams. Int J Adv Manuf Technol 66(9–12):1535–1543
53.
Zurück zum Zitat Liu FQ, Wang ZY, Yu J (2018) Precise initial weld position identification of a fillet weld seam using laser vision technology. Int J Adv Manuf Technol 99(5–8):2059–2068 Liu FQ, Wang ZY, Yu J (2018) Precise initial weld position identification of a fillet weld seam using laser vision technology. Int J Adv Manuf Technol 99(5–8):2059–2068
54.
Zurück zum Zitat Fan J, Jing F, Yang L, Teng Lo, Tan M (2018) A precise initial weld point guiding method of micro-gap weld based on structured light vision sensor. IEEE Sens J 19(1):322–331 Fan J, Jing F, Yang L, Teng Lo, Tan M (2018) A precise initial weld point guiding method of micro-gap weld based on structured light vision sensor. IEEE Sens J 19(1):322–331
55.
Zurück zum Zitat Zhang L, Xu Y, Du S, Zhao W, Hou Z, Chen S (2018) Point cloud based three-dimensional reconstruction and identification of initial welding position. In: Transactions on intelligent welding manufacturing. Springer, pp 61–77 Zhang L, Xu Y, Du S, Zhao W, Hou Z, Chen S (2018) Point cloud based three-dimensional reconstruction and identification of initial welding position. In: Transactions on intelligent welding manufacturing. Springer, pp 61–77
56.
Zurück zum Zitat Dinham M, Gu F (2013) Autonomous weld seam identification and localisation using eye-in-hand stereo vision for robotic arc welding. Robotics Comput Integr Manuf 29(5):288–301 Dinham M, Gu F (2013) Autonomous weld seam identification and localisation using eye-in-hand stereo vision for robotic arc welding. Robotics Comput Integr Manuf 29(5):288–301
57.
Zurück zum Zitat Li J, Jing F, Li E (2016) A new teaching system for arc welding robots with auxiliary path point generation module. In: 2016 35th Chinese Control Conference (CCC). IEEE, pp 6217–6221 Li J, Jing F, Li E (2016) A new teaching system for arc welding robots with auxiliary path point generation module. In: 2016 35th Chinese Control Conference (CCC). IEEE, pp 6217–6221
58.
Zurück zum Zitat Jin Z, Li H, Zhang C, Wang Q, Gao H (2017) Online welding path detection in automatic tube-to-tubesheet welding using passive vision. Int J Adv Manuf Technol 90(9–12):3075–3084 Jin Z, Li H, Zhang C, Wang Q, Gao H (2017) Online welding path detection in automatic tube-to-tubesheet welding using passive vision. Int J Adv Manuf Technol 90(9–12):3075–3084
59.
Zurück zum Zitat Yang L, Li E, Long T, Fan J, Liang Z (2019) A novel 3-D path extraction method for arc welding robot based on stereo structured light sensor. IEEE Sens J 19(2):763–773 Yang L, Li E, Long T, Fan J, Liang Z (2019) A novel 3-D path extraction method for arc welding robot based on stereo structured light sensor. IEEE Sens J 19(2):763–773
60.
Zurück zum Zitat Yang L, Li E, Long T, Fan J, Liang Z (2018) A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot: a review. IEEE Sens J 18(21):8631–8641 Yang L, Li E, Long T, Fan J, Liang Z (2018) A high-speed seam extraction method based on the novel structured-light sensor for arc welding robot: a review. IEEE Sens J 18(21):8631–8641
61.
Zurück zum Zitat Zeng J, Chang B, Du D, Peng G, Chang S, Hong Y, Li W, Shan J (2017) A vision-aided 3D path teaching method before narrow butt joint welding. Sensors 17(5):1099 Zeng J, Chang B, Du D, Peng G, Chang S, Hong Y, Li W, Shan J (2017) A vision-aided 3D path teaching method before narrow butt joint welding. Sensors 17(5):1099
62.
Zurück zum Zitat Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69(1–4):451–460 Gu WP, Xiong ZY, Wan W (2013) Autonomous seam acquisition and tracking system for multi-pass welding based on vision sensor. Int J Adv Manuf Technol 69(1–4):451–460
63.
Zurück zum Zitat Luo H, Chen X (2005) Laser visual sensing for seam tracking in robotic arc welding of titanium alloys. Int J Adv Manuf Technol 26(9–10):1012–1017 Luo H, Chen X (2005) Laser visual sensing for seam tracking in robotic arc welding of titanium alloys. Int J Adv Manuf Technol 26(9–10):1012–1017
64.
Zurück zum Zitat Shen H, Lin T, Chen S, Li L (2010) Real-time seam tracking technology of welding robot with visual sensing. J Intell Robot Syst 59(3–4):283–298MATH Shen H, Lin T, Chen S, Li L (2010) Real-time seam tracking technology of welding robot with visual sensing. J Intell Robot Syst 59(3–4):283–298MATH
65.
Zurück zum Zitat Gao X, You D, Katayama S (2012) Seam tracking monitoring based on adaptive Kalman filter embedded Elman neural network during high-power fiber laser welding. IEEE T Ind Electron 59(11):4315–4325 Gao X, You D, Katayama S (2012) Seam tracking monitoring based on adaptive Kalman filter embedded Elman neural network during high-power fiber laser welding. IEEE T Ind Electron 59(11):4315–4325
66.
Zurück zum Zitat Fang Z, Xu D, Tan M (2011) A vision-based self-tuning fuzzy controller for fillet weld seam tracking. IEEE-ASME T Mech 16(3):540–550 Fang Z, Xu D, Tan M (2011) A vision-based self-tuning fuzzy controller for fillet weld seam tracking. IEEE-ASME T Mech 16(3):540–550
67.
Zurück zum Zitat Kiddee P, Fang Z, Tan M (2016) An automated weld seam tracking system for thick plate using cross mark structured light. Int J Adv Manuf Technol 87(9–12):3589–3603 Kiddee P, Fang Z, Tan M (2016) An automated weld seam tracking system for thick plate using cross mark structured light. Int J Adv Manuf Technol 87(9–12):3589–3603
68.
Zurück zum Zitat Lü X, Gu D, Wang Y, Qu Y, Qin C, Huang F (2018) Feature extraction of welding seam image based on laser vision. IEEE Sens J 18(11):4715–4724 Lü X, Gu D, Wang Y, Qu Y, Qin C, Huang F (2018) Feature extraction of welding seam image based on laser vision. IEEE Sens J 18(11):4715–4724
69.
Zurück zum Zitat He Z, Yi S, Cheung Y-M, You X, Tang YY (2017) Robust object tracking via key patch sparse representation. IEEE T Cybernetics 47(2):354–364 He Z, Yi S, Cheung Y-M, You X, Tang YY (2017) Robust object tracking via key patch sparse representation. IEEE T Cybernetics 47(2):354–364
70.
Zurück zum Zitat Čehovin L, Leonardis A, Kristan M (2016) Visual object tracking performance measures revisited. IEEE T Image Process 25(3):1261–1274MathSciNetMATH Čehovin L, Leonardis A, Kristan M (2016) Visual object tracking performance measures revisited. IEEE T Image Process 25(3):1261–1274MathSciNetMATH
71.
Zurück zum Zitat Comaniciu D, Ramesh V, Meer P (2003) Kernel-based object tracking. IEEE T Pattern Anal 25(5):564–575 Comaniciu D, Ramesh V, Meer P (2003) Kernel-based object tracking. IEEE T Pattern Anal 25(5):564–575
72.
Zurück zum Zitat Bolme DS, Ross Beveridge J, Draper BA, Lui YM (2010) Visual object tracking using adaptive correlation filters. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, pp 2544–2550 Bolme DS, Ross Beveridge J, Draper BA, Lui YM (2010) Visual object tracking using adaptive correlation filters. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE, pp 2544–2550
73.
Zurück zum Zitat Zou Y, Chen T (2018) Laser vision seam tracking system based on image processing and continuous convolution operator tracker. Opt Laser Eng 105:141–149 Zou Y, Chen T (2018) Laser vision seam tracking system based on image processing and continuous convolution operator tracker. Opt Laser Eng 105:141–149
74.
Zurück zum Zitat Zou Y, Wang Y, Zhou W, Chen X (2018) Real-time seam tracking control system based on line laser visions. Opt Laser Technol 103:182–192 Zou Y, Wang Y, Zhou W, Chen X (2018) Real-time seam tracking control system based on line laser visions. Opt Laser Technol 103:182–192
75.
Zurück zum Zitat Zou Y, Chen X, Gong G, Li J (2018) A seam tracking system based on a laser vision sensor. Measurement 127:489–500 Zou Y, Chen X, Gong G, Li J (2018) A seam tracking system based on a laser vision sensor. Measurement 127:489–500
76.
Zurück zum Zitat Pinto-Lopera J, Motta JST, Alfaro SA (2016) Real-time measurement of width and height of weld beads in GMAW processes. Sensors 16(9):1500 Pinto-Lopera J, Motta JST, Alfaro SA (2016) Real-time measurement of width and height of weld beads in GMAW processes. Sensors 16(9):1500
77.
Zurück zum Zitat Wang Z, Zhang YM, Yang R (2013) Analytical reconstruction of three-dimensional weld pool surface in GTAW. J Manuf Process 15(1):34–40 Wang Z, Zhang YM, Yang R (2013) Analytical reconstruction of three-dimensional weld pool surface in GTAW. J Manuf Process 15(1):34–40
78.
Zurück zum Zitat Zhang WJ, Liu YK, Wang X, Zhang YM (2012) Characterization of three dimensional weld pool surface in GTAW. Weld J 91(7):195s–203s Zhang WJ, Liu YK, Wang X, Zhang YM (2012) Characterization of three dimensional weld pool surface in GTAW. Weld J 91(7):195s–203s
79.
Zurück zum Zitat Zhang WJ, Zhang X, Yu MZ (2015) Robust pattern recognition for measurement of three dimensional weld pool surface in GTAW. J Intell Manuf 26(4):659–676MathSciNet Zhang WJ, Zhang X, Yu MZ (2015) Robust pattern recognition for measurement of three dimensional weld pool surface in GTAW. J Intell Manuf 26(4):659–676MathSciNet
80.
Zurück zum Zitat Liu YK, Zhang YM (2017) Fusing machine algorithm with welder intelligence for adaptive welding robots. J Manuf Process 27:18–25 Liu YK, Zhang YM (2017) Fusing machine algorithm with welder intelligence for adaptive welding robots. J Manuf Process 27:18–25
81.
Zurück zum Zitat Li C, Yu S, Gu YF, Yuan P (2018) Monitoring weld pool oscillation using reflected laser pattern in gas tungsten arc welding. J Mater Process Tech 255:876–885 Li C, Yu S, Gu YF, Yuan P (2018) Monitoring weld pool oscillation using reflected laser pattern in gas tungsten arc welding. J Mater Process Tech 255:876–885
82.
Zurück zum Zitat Yu S, Li C, Du L, Gu YF, Ming Z (2016) Frequency characteristics of weld pool oscillation in pulsed gas tungsten arc welding. J Manuf Process 24:145–151 Yu S, Li C, Du L, Gu YF, Ming Z (2016) Frequency characteristics of weld pool oscillation in pulsed gas tungsten arc welding. J Manuf Process 24:145–151
83.
Zurück zum Zitat He K, Li X (2016) A quantitative estimation technique for welding quality using local mean decomposition and support vector machine. J Intell Manuf 27(3):525–533MathSciNet He K, Li X (2016) A quantitative estimation technique for welding quality using local mean decomposition and support vector machine. J Intell Manuf 27(3):525–533MathSciNet
84.
Zurück zum Zitat Zhang H, Hou Y, Zhao J, Wang L, Xi T, Li Y (2017) Automatic welding quality classification for the spot welding based on the Hopfield associative memory neural network and Chernoff face description of the electrode displacement signal features. Mech Syst Signal Pr 85:1035–1043 Zhang H, Hou Y, Zhao J, Wang L, Xi T, Li Y (2017) Automatic welding quality classification for the spot welding based on the Hopfield associative memory neural network and Chernoff face description of the electrode displacement signal features. Mech Syst Signal Pr 85:1035–1043
85.
Zurück zum Zitat Li Y, Li YF, Wang QL, Xu D, Tan M (2010) Measurement and defect detection of the weld bead based on online vision inspection. IEEE T Instrum Meas 59(7):1841–1849 Li Y, Li YF, Wang QL, Xu D, Tan M (2010) Measurement and defect detection of the weld bead based on online vision inspection. IEEE T Instrum Meas 59(7):1841–1849
86.
Zurück zum Zitat Chu H-H, Wang Z-Y (2016) A vision-based system for post-welding quality measurement and defect detection. Int J Adv Manuf Technol 86(9–12):3007–3014 Chu H-H, Wang Z-Y (2016) A vision-based system for post-welding quality measurement and defect detection. Int J Adv Manuf Technol 86(9–12):3007–3014
87.
Zurück zum Zitat Rodríguez-Martín M, Rodríguez-Gonzálvez P, González-Aguilera D, Fernández-Hernández J (2017) Feasibility study of a structured light system applied to welding inspection based on articulated coordinate measure machine data. IEEE Sens J 17(13):4217–4224 Rodríguez-Martín M, Rodríguez-Gonzálvez P, González-Aguilera D, Fernández-Hernández J (2017) Feasibility study of a structured light system applied to welding inspection based on articulated coordinate measure machine data. IEEE Sens J 17(13):4217–4224
Metadaten
Titel
Advances techniques of the structured light sensing in intelligent welding robots: a review
verfasst von
Lei Yang
Yanhong Liu
Jinzhu Peng
Publikationsdatum
18.08.2020
Verlag
Springer London
Erschienen in
The International Journal of Advanced Manufacturing Technology / Ausgabe 3-4/2020
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI
https://doi.org/10.1007/s00170-020-05524-2

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