Time frequency feature extraction of the arc energy for quality detection of the aluminum alloy double pulse MIG welding

He, Kuanfang; Si, Yin; Lü, Wei; Lu, Qinghua; Li, Qi; Huang, Chenhua; Xiao, Shoune

doi:10.1299/jamdsm.2020jamdsm0080

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…Liu [12] employed ensemble empirical mode decomposition (EEMD) to obtain the frequency characteristics of the plasma plume morphology and built a support vector machine (SVM) model in combination with the raw signals in the time domain to classify the different penetration states. He [13] obtained the time-frequency distribution of the welding current signal by local mean decomposition (LMD) and Hilbert transformation, and evaluated the arc stability and welding formation quality by calculating the approximate entropy (ApEn) of the time-frequency distribution of the welding current signal. The welding electrical signal is also a nonlinear signal with chaotic and fractal characteristics.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Metal Active-Gas Welding Short-Circuiting Transfer Based on Input Pulsating Energy

Lv,

He,

2024

Materials

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In this study, a platform for a welding experiment, used to collect input and output electrical signals, was constructed, and the algorithm for the input pulsating energy interpolation line (IPEI) was given. Experiments with MAG surface straight line welding were conducted at various voltages. Analysis of the IPEI in relation to the welding current was performed while combining real-world welding occurrences with high-speed camera images of droplet transfer. It was established that the IPEI can be employed as a characteristic parameter to assess the stability of the short-circuiting transfer process in MAG welding. The three criteria for assessing the stability were the spectrum, approximation entropy, and coefficient of variation. A comparative analysis was conducted on each of these approaches. It was determined that the most effective technique is approximation entropy. The approximation entropy of the welding current and IPEI are also highly consistent, with a correlation coefficient as high as 0.9889.

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Section: Introductionmentioning

confidence: 99%