Abstract Lap joints commonly exist in the welding processes during manufacturing of automobiles and ships. Their asymmetric structures make it extraordinary difficult to monitor the penetration states online. In this paper, a two-channel arc sound signal acquisition device is developed and a binaural auditory perception model is proposed to identify the penetration states of lap joints. Firstly, an auditory peripheral model is built to filter the two-channel arc sound signals and decompose them into a series of frequency bands. After that, with simulating the energy transformation and lateral inhabitation of auditory system, the frequency distributions of the two-channel arc sound signals are obtained. Subsequently, the energy differences of the two-channel sounds are obtained and decomposed into multi-scales by an auditory cortex model. Finally, a support vector machine is built to recognize the lap bead penetration states. This study provides a new feasible approach to identify penetration states of lap weld joints.

中文翻译：

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基于两通道电弧声的钨极氩弧焊搭接焊缝焊透状态识别

摘要 搭接接头普遍存在于汽车和船舶制造过程中的焊接过程中。它们的不对称结构使得在线监控渗透状态变得异常困难。本文研制了一种双通道弧形声信号采集装置，并提出了双耳听觉感知模型来识别膝关节的穿透状态。首先，建立听觉外围模型，对两声道弧形声信号进行滤波，并将其分解为一系列频段。之后，通过模拟听觉系统的能量转换和侧向驻留，得到两通道弧形声音信号的频率分布。随后，通过听觉皮层模型获得两声道声音的能量差异并分解为多尺度。最后，构建支持向量机以识别搭接珠渗透状态。该研究为识别搭接焊缝的熔深状态提供了一种新的可行方法。