Laser welding is becoming more and more important in automotive industry and quality of the weld is critical for a successful application. In many cases the increase in welding speed provided by laser welding has caused the welding system operator to be unable to keep up with the production rate while inspecting each part. Therefore, either additional inspectors are required, or some form of real time on-line inspection of the weld must be provided. This is especially necessary where the laser weld properties are critical to final product performance. This paper describes architecture of such a system. The proposed system is based on a dynamic model comprised of static and dynamic neural networks.
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2001
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