Title :
Signal Processing Method for Arc Sensor
Author :
Ye Jian-xiong ; Liu Ping-xian ; Wang Hong-xing ; Yin Yi
Author_Institution :
Nanchang Inst. of Technol., Nanchang, China
Abstract :
Signal process method is very important in welding automation and arc sensor is a kind of welding-sensor which works on the relationship between welding current and arc length. The using of Wavelet transform (WT) for detecting of welding gun slop with arc sensor is discussed in this paper. Sensor structure is introduced at first, and then Wavelet transform (WT) is induced into its signal processing for reason of strong interference during welding process, conclusions can be drawn on the basis of large amount tests that WT is feasible and effective here in spite of strong interference.
Keywords :
arc welding; electric sensing devices; fuzzy control; fuzzy set theory; genetic algorithms; neurocontrollers; rough set theory; signal processing; wavelet transforms; welding equipment; arc length; arc sensor; signal processing method; wavelet transform; welding automation; welding current; welding gun slop; Automatic voltage control; Automation; Intelligent sensors; Interference; Marine technology; Optical sensors; Pulse circuits; Signal processing; Spot welding; Wavelet transforms; Arc Sensor; Rough Error Detection; WT; Welding Gun Slop;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.550