DocumentCode :
2949276
Title :
AE signal extraction under the strong noise
Author :
Changpeng, Ji ; Wei, Dai
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
fYear :
2009
fDate :
13-15 Nov. 2009
Firstpage :
1
Lastpage :
3
Abstract :
According to the technology of using acoustic emission signal to extrapolate the acoustic emission source, the multiple signal classification algorithm based on far-field uniform linear array model had been researched in this paper. Combined with the property of AE monitoring, we present that the far-field multiple signal classification algorithm can be applied to estimate the position of the AE signal source. We can basically find the position of the AE signal source by making this algorithm adaptation with roadway shape and workface in the coal mine AE signal detection. The simulation results show that the proposed algorithm could effectively estimate the position of the AE signal source.
Keywords :
acoustic emission; array signal processing; signal detection; AE signal extraction; acoustic emission signal; rock acoustic emission; uniform linear array model; Acoustic arrays; Acoustic emission; Acoustic noise; Classification algorithms; Earthquakes; Monitoring; Multiple signal classification; Sensor arrays; Signal processing; Signal processing algorithms; arbitrary array model; far-field MUSIC; rock acoustic emission; uniform linear array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4856-2
Electronic_ISBN :
978-1-4244-5668-0
Type :
conf
DOI :
10.1109/WCSP.2009.5371474
Filename :
5371474
Link To Document :
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