Abstract
Spectral signal collected during GTAW process is multi-dimensional, thus difficult to be analyzed. In previous researches, SOI and EMD algorithms were used to reduce dimensionality. In this paper, an automatic discriminant criterion based on correlation coefficient is proposed to eliminate redundant wavelength signals in spectral domain (200–1100 nm), and only a few spectral lines will be left for subsequent processing. To overcome the limit of EMD, variational mode decomposition (VMD) algorithm is used to decompose the spectral signal into determined number of intrinsic signals with fewer modal aliasing in time domain. The number of VMD modes is nine determined by the spectral peaks’ number in frequency domain. Finally, it has been proved that VMD decomposed models have more physical meaning and are more feasible for real-time analysis in compared with EMD algorithm.
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This work is supported by the National Natural Science Foundation of China (51575349).
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Chen, H., Li, G., Lv, N., Chen, S. (2019). Spectral Signal Analysis Using VMD in Pulsed GTAW Process of 5A06 Al Alloy. In: Chen, S., Zhang, Y., Feng, Z. (eds) Transactions on Intelligent Welding Manufacturing. Transactions on Intelligent Welding Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-13-7418-0_5
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DOI: https://doi.org/10.1007/978-981-13-7418-0_5
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Online ISBN: 978-981-13-7418-0
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