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首页> 外文会议>IEEE International Conference on Control, Measurement and Instrumentation >Performance Analysis of Arc Welding Parameters using Self Organizing Maps and Probability Density Distributions
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Performance Analysis of Arc Welding Parameters using Self Organizing Maps and Probability Density Distributions

机译：使用自组织地图和概率密度分布的电弧焊接参数性能分析

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摘要

During welding, random variations in current and voltage occur, which cannot be recorded with ordinary ammeter and voltmeter. Acquisition of voltage and current signals while welding is in progress at a very high speed using digital storage oscilloscope (DSO) and subsequent analysis of the stored data can be very useful to understand the arc welding process. In the present study, welding data were acquired for two inverter and two generator power sources while welding with two different electrodes using a DSO at the sampling rate of 100000 samples/s. This data was filtered using the Fast Fourier Transform (FFT) low pass filter and subjected to time domain and statistical analysis. Probability Density Distributions (PDDs) and artificial neural network comprising of Self Organizing Maps (SOM) were used to evaluate performance of power sources and welders. This paper explores the use of self-organizing maps as a mechanism for performing unsupervised learning for comparing performance characteristics of various welding parameters which includes welding power supplies and welders. Results obtained using SOM has been compared with the PDDs obtained during statistical analysis. Finally it is shown that in addition to PDD, analysis of voltage and current data using SOM technique can also be used to evaluate the arc welding process.
机译：在焊接期间，发生电流和电压的随机变化，不能用普通的电流表和电压表记录。使用数字存储示波器（DSO）以非常高速进行焊接的电压和电流信号的采集，并随后对存储的数据进行分析，可以非常有用地理解电弧焊接过程。在本研究中，为两个逆变器和两个发电机电源获取焊接数据，同时使用DSO以100000样本/ s的采样率焊接两个不同的电极。使用快速傅里叶变换（FFT）低通滤波器进行过滤此数据，并进行时域和统计分析。使用自组织地图（SOM）的概率密度分布（PDD）和人工神经网络用于评估电源和焊工的性能。本文探讨了自组织地图作为执行无监督学习的机制，用于比较各种焊接参数的性能特征，包括焊接电源和焊工。使用SOM获得的结果与在统计分析期间获得的PDD进行了比较。最后显示，除了PDD之外，还可以使用使用SOM技术的电压和电流数据分析来评估电弧焊接过程。

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