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Träfflista för sökning "WFRF:(Bolmsjö Gunnar) srt2:(1995-1999)"

Sökning: WFRF:(Bolmsjö Gunnar) > (1995-1999)

  • Resultat 1-9 av 9
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2.
  • Adolfsson, Stefan, et al. (författare)
  • On-line quality monitoring in short : circuit gas metal arc welding
  • 1999
  • Ingår i: Welding Journal. - New York,N.Y. : American welding society. - 0043-2296. ; 78:2, s. 59S-73S
  • Tidskriftsartikel (refereegranskat)abstract
    • This paper addresses the problems involved in the automatic monitoring of the weld quality produced by robotized short-arc welding. A simple statistical change detection algorithm for the weld quality, the repeated Sequential Probability Ratio Test (SPRT), was used. The algorithm may similarly be viewed as a cumulative sum (CUSUM) type test, and is well-suited to detecting sudden minor changes in the monitored test statistic. The test statistic is based on the variance of the weld voltage, wherein it will be shown that the variance decreases when the welding process is not operating under optimal conditions. The performance of the algorithm is assessed through the use of experimental data. The results obtained from the algorithm show that it is possible to detect changes in weld quality automatically and on-line.
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3.
  • Bolmsjö, Gunnar, et al. (författare)
  • Robotics in rehabilitation
  • 1995
  • Ingår i: IEEE Transactions on Rehabilitation Engineering. - 1063-6528. ; 3:1, s. 77-83
  • Tidskriftsartikel (refereegranskat)abstract
    • Robotics in rehabilitation provide considerable opportunities to improve the quality of life for physically disabled people. However, practical results limited, mainly due to the need for developing new robotics concepts where people are where they are working in separeted areas. This paper reveals some of the developments needed and presents two projects currently underway at Lund University. The first one is concerned with end-effector design for a robotic workstation for officebased tasks, while the second is concerned with a mobile robotic system for use in medical an chemical laboratories by disabled people. Both projects show promising results. There is also a need for further research in developing new robotic systems for use in rehabilitation with new mechanical features, as well as programming and control suitable for any user.
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4.
  • Bolmsjö, Gunnar, et al. (författare)
  • Task Programming of Welding Robots
  • 1995
  • Ingår i: Proceedings of the International Conference on the Joining of Materials, JOM-7. ; , s. 573-585
  • Konferensbidrag (refereegranskat)
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6.
  • Neveryd, Håkan, et al. (författare)
  • The Swedish experience of rehabilitation robotics
  • 1999
  • Ingår i: Proceedings of Workshop Rehabilitation Robotics, Hoensbroek, The Netherlands. ; , s. 49-54
  • Konferensbidrag (refereegranskat)abstract
    • Over the last ten years, there has been a great deal of research and development in Sweden in the field of rehabilitation robotics. The research effort has often focused on workplace adaptations. This paper deals with four robotic adaptations, all of whic
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8.
  • Nilsson, Klas, et al. (författare)
  • Experimental Industrial Robotics
  • 1996
  • Ingår i: Conference on Decision and Control. ; , s. 3904-3909
  • Konferensbidrag (refereegranskat)
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9.
  • Pettersson, Linus, et al. (författare)
  • Detection in a Robotised Short Circuting GMA Welding using Neural Networks
  • 1999
  • Konferensbidrag (refereegranskat)abstract
    • Today it is both time and cost consuming to check the quality of a weld when it is done off-line by an experienced weld operator. Therefor the need for an automatic detection is urgent in order to reduce production costs. There are systems for monitoring the quality of a weld commercially available but there is still some research that has to be done in this area in order to increase the reliability. The method presented in this paper is neural network based and considers short circuiting GMA welding, but there is no obstacle for this solution to work on other types of robotised welding. By presenting the weld voltage to a neural network, the network is able to detect defects in the weld joint. Testresults have shown that the detection rate is 100 percent and false alarms are nonexisting.
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  • Resultat 1-9 av 9

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