Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring
Abstract: Owing to its
diverse, the stability of arc signals in high-powered submerged arc welding is
not very salient, and weld defects are difficult to detect automatically. Aimed
at this problem, this paperproposes a noise robustness algorithm for
calibrating the singularity points and denoting the kinetics and stability of
arc. Firstly, reconstruct a vector, which is the calculation of the approximate
entropy in phase space, denotes the distortion of arc. Then, a algorithm for
calculation is given based on reconstruction of chaotic time series in phase
space. Finally, we apply the calculation of approximate entropy algorithm in phase
space to flaw detection for arc signals, which is efficient proved by
experimental results.
Author: Shuguang Wu, Yiqing
Zhou
Journal Code: jptkomputergg160298
