Research on Feature Extraction Method Based on Rub-Impact Acoustic Emission Signals of Mechanical Seal End Faces

Autor:	Shuangfu Suo, Weifeng Huang, Chuan Jun Liao
Rok vydání:	2010
Předmět:	Engineering Wavelet Acoustic emission Feature (computer vision) business.industry Acoustics Feature extraction Spectral density General Medicine business Seal (mechanical) Signal Experimental research
Zdroj:	Applied Mechanics and Materials. 36:68-74
ISSN:	1662-7482
DOI:	10.4028/www.scientific.net/amm.36.68
Popis:	Acoustic emission (AE) techniques are put forward to monitor rub-impacts between rotating rings and stationary rings of mechanical seals by this paper. By analyzing feature extraction methods of the typical rub-impact AE signal, the method combining of wavelet scalogram and power spectrum is found useful, and can used to attribute the feature information implicated in rub-impact AE signals of mechanical seal end faces. Both simulations and experimental research prove that the method is effective, and are used successfully to identify the typical features of different types of rub-impacts of mechanical seal end faces.
Databáze:	OpenAIRE
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