Title :
Signal Processing of Magnetic Memory in Steel-cord Belts Based on Wavelet Analysis
Author :
Tie-zhu, Qiao ; Jun-chao, Ma ; Yong-hong, Zhao
Author_Institution :
Minist. of Educ. Key Lab. of Adv. Transducers & Intell. Control Syst., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In this paper, the Metal Magnetic Memory Technology (MMMT) was applied in the early fault diagnosis of steel-cord belts. And the malfunction signal of steel-cord belts was denoised and detected singularity by the wavelet analysis. As a result, the interference signal was eliminated, Signal Noise Ratio (SNR) was improved and the malfunction points were more clearer. The experiment proved that this method can detect accurately the malfunction places where occur the twitch of the joint and the break of the steel-cord.
Keywords :
acoustic signal processing; fault diagnosis; interference suppression; magnetic storage; signal denoising; wavelet transforms; MMMT; fault diagnosis; metal magnetic memory technology; signal interference; signal malfunction; signal noise ratio; signal processing; steel-cord belts; wavelet analysis; Belts; Fault diagnosis; Interference elimination; Magnetic analysis; Magnetic memory; Magnetic noise; Signal analysis; Signal processing; Signal to noise ratio; Wavelet analysis; fault diagnosis; metal magnetic memory; steel-cord belts; wavelet analysis;
Conference_Titel :
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-6420-3
Electronic_ISBN :
978-1-4244-6421-0
DOI :
10.1109/IITAW.2009.62
