Steel material detection based on sound signal and the experimental research

Journal of Hebei University of Science and Technology

Guixi DONG¹  Zhiying QIN²  Yao LIU²  Kanghua QI²  Yuejing ZHAO² 

[1] Hebei Electrical Transmission and Transformation Engineering Company, Shijiazhuang, Hebei 051130, China;School of Mechanical Engineering, Hebei University of Science and Technology, Shijiazhuang, Hebei 050018, China;

关键词: applied acoustics;    sound signal;    MFCC;    DTW;    material detection;   

DOI  :  10.7535/hbkd.2016yx03010

来源: DOAJ

【 摘 要 】

In the machining process of iron tower, the angle steel needs to be operated through clamping, punching, shearing, etc, and different material produces different sound, so it is advised to use sound signal to detect steel materials Q235 and Q345. Experiment system is constructed by using the sound sensor and signal acquisition system, so the continuous sound signal is acquired, and the sound wave of single punching cycle is exacted for the follow-up judgement. For the sound signal in one cycle, MFCC(Mel Frequency Cepstrum Coefficient) parameters are extracted as characteristic parameters, and the distances between the being measured template and the two standard templates of Q235 and Q345 are computed by the DTW (Dynamic Time Warping) method. As a result, which distance is smaller determines the template. In the experiment, two sets of samples for four kinds of angle steels are acquired, respectively, which proves the validity of the method for steel material detection.

【 授权许可】

Unknown