Abstract
Time-Frequency Entropy Analysis of Arc Signal in Non-Stationary Submerged Arc Welding
Highlights
The submerged arc welding has been widely used in welding production because of its high effection [1]
Time-varying load of arc, the changes of arc made energy signals is reflected in time and frequency domain in welding process, so it a significant to achieve online detection and study arc stability and welding quality by sensed current or voltage signals in welding process [2]
Welding current or voltage is a no-stationary signal of submerged arc welding
Summary
The submerged arc welding has been widely used in welding production because of its high effection [1]. Time-varying load of arc, the changes of arc made energy signals is reflected in time and frequency domain in welding process, so it a significant to achieve online detection and study arc stability and welding quality by sensed current or voltage signals in welding process [2]. Welding current or voltage is a no-stationary signal of submerged arc welding. It’s no doubt that time-frequency analysis and calculation of arc current and voltage signals of submerged arc welding is a good method to judge stability of arc and welding quality by introducing information entropy into time-frequency distribution [4,5]. Time-frequency analysis method is introduced to analyze the collected arc signal in different conditions of welding process and calculate corresponding energy entropy in this paper. It is provided that a more adequate guidance for welding parameters choice
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