Application of arc plasma spectral information in the monitor of Al–Mg alloy pulsed GTAW penetration status based on fuzzy logic system
Application of arc plasma spectral information in the monitor of Al–Mg alloy pulsed GTAW penetration status based on fuzzy logic system
复制标题
基于模糊逻辑系统的电弧等离子体光谱信息在铝镁合金脉冲GTAW熔深状态监测中的应用
DOI：
10.1007/s00170-013-4877-1
复制
发表时间：
2013-03
期刊：
影响因子：
--
通讯作者：
Yu H, Ye Z, Chen S
中科院分区：
文献类型：
--
作者：
Yu H, Ye Z, Chen S
本文提出了一种基于电弧光谱信息的智能模糊系统来识别焊缝熔深状态。同时使用光谱仪和视觉传感器分别收集有关 Al-Mg 合金脉冲 GTAW 工艺的电弧光谱和视觉信息。利用主成分分析进行谱线识别、冗余去除和光谱特征信号提取；小波包去噪技术被用来对这些信号进行滤波。讨论并阐明了不同焊接条件下熔深状态与相应光谱信号之间的关系。最后，开发了基于光谱信号的模糊系统，并成功用于估计焊缝熔深状态的百分比指数。采用熔深指数二元决策，对特定焊接条件的熔深状态平均识别率不低于82.1%。
In this paper, an intelligent fuzzy system based on arc spectral information was proposed to recognize the weld penetration status. A spectrometer and a visual sensor were used simultaneously to collect the arc spectral and visual information about the Al–Mg alloy pulsed GTAW process, respectively. Principal component analysis was utilized for spectral line identification, redundancy removal and spectral characteristic signals extraction; wavelet packet denoising technique was used to filter these signals. The relationship between the penetration status under different welding conditions and the corresponding spectral signals was discussed and clarified. Finally, a fuzzy system based on the spectral signals was developed and successfully used to estimate the percentage index of the weld penetration status. With a binary decision of penetration index, the average recognition rate for the penetration status about the specific welding conditions was no less than 82.1 %.
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DOI：
10.1016/0584-8547(85)80059-8
发表时间：
1985-01-01
影响因子：
3.3
作者：
BASTIAANS, GJ;MANGOLD, RA
通讯作者：
MANGOLD, RA
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影响因子：
6.3
作者：
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通讯作者：
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DOI：
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发表时间：
2005-12
期刊：
Fuzzy Sets Syst.
影响因子：
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作者：
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通讯作者：
S. Mitra;S. Pal
DOI：
10.1115/1.1349719
发表时间：
1999-11
期刊：
Manufacturing Science and Engineering
影响因子：
--
作者：
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通讯作者：
P. Li;Yuming Zhang
DOI：
10.1109/19.930442
发表时间：
2001-06
期刊：
IEEE Trans. Instrum. Meas.
影响因子：
--
作者：
Pengjiu Li;Yu-Ming Zhang
通讯作者：
Pengjiu Li;Yu-Ming Zhang