首页> 外国专利> METHOD AND DEVICE FOR QUALITY CONTROL OF THE JOINT ON SHEETS OR STRIPS BUTT-WELDED BY MEANS OF A LASER

METHOD AND DEVICE FOR QUALITY CONTROL OF THE JOINT ON SHEETS OR STRIPS BUTT-WELDED BY MEANS OF A LASER

机译:激光熔接条或条带对接接头质量控制的方法和装置

摘要

The invention relates to a method for the quality control of the joint on sheets or strips butt-welded by laser, on which a number of sensor measurements are taken, by at least two sensors arranged around the welded region. The sensor data is fed as input parameters to a combining and correlating measured-data processor for quality evaluation of the welded joint. In order to achieve a real-time quality control of the welded joint, which permits an analysis of the weld result which is true to the actual result, the stored data is fed as input parameters to at least one trainable, artificial neuronal network with an essentially hierarchical structure, which comprises at least two essentially independent artificial neuronal networks. Furthermore, the first artificial neuronal network comprises at least two artificial neuronal networks. The first artificial neuronal network is fed the results from a data pre-processing, as input parameters and the second artificial neuronal partial network is fed the results from the first artificial neuronal partial network, as input parameters and the results from the at least one artificial neuronal network are used for quality control.
机译:本发明涉及一种用于通过激光对接焊接的板或条上的接头的质量控制的方法,在该方法上通过围绕焊接区域布置的至少两个传感器来进行许多传感器测量。传感器数据作为输入参数输入到组合和相关的测量数据处理器,以评估焊接接头的质量。为了实现对焊接接头的实时质量控制,从而允许对焊接结果进行分析,使之与实际结果相符,将存储的数据作为输入参数输入到至少一个可训练的人工神经元网络中,并通过本质上是分层的结构,包括至少两个本质上独立的人工神经元网络。此外,第一人工神经网络包括至少两个人工神经网络。第一人工神经元网络被馈送来自数据预处理的结果作为输入参数,第二人工神经元子网络馈送来自第一人工神经元子网络的结果作为输入参数和至少一个人工输入的结果。神经网络用于质量控制。

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