Title :
An acoustic emission pattern recognition approach for hydrogen damage on carbon steel
Author :
Li, Wenhua ; Liu, Zhongpeng
Author_Institution :
Dept. of Inf. Technol., Baoding Univ., Baoding, China
Abstract :
An acoustic emission technique, in conjunction with pattern recognition methodology, is demonstrated to be a successful tool for the monitoring response of hydrogen induced crack characterization of engineering materials, e.g. carbon steel. The principles and instrumentation involved in the acoustic emission technique are described. Statistical pattern recognition methodology, used for the analysis of acoustic emission waveforms and in the design of the required discriminating classifiers, is presented. These results provide a useful method of monitoring hydrogen induced crack development in metal for onsite nondestructive inspection.
Keywords :
acoustic emission testing; acoustic signal processing; carbon steel; condition monitoring; crack detection; hydrogen; inspection; nondestructive testing; pattern recognition; acoustic emission technique; carbon steel; crack characterization; hydrogen damage; monitoring; onsite nondestructive inspection; statistical pattern recognition methodology; Acoustic emission; Feature extraction; Materials; Monitoring; Pattern recognition; Steel; Training; acoustic emission; fisher distance; hydrogen induced crack; pattern recognition;
Conference_Titel :
Image and Signal Processing (CISP), 2011 4th International Congress on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9304-3
DOI :
10.1109/CISP.2011.6100720