DocumentCode :
1716419
Title :
AE signal extraction under the noise
Author :
Chang-peng, Ji ; Wei, Dai ; Mei-zi, Shi ; Mo, Gao
Author_Institution :
Sch. of Electron. & Inf. Eng., Liaoning Tech. Univ., Huludao, China
Volume :
1
fYear :
2010
Abstract :
According to the technology of using AE 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; acoustic noise; acoustic signal processing; signal sources; AE signal extraction; acoustic emission source; far-field multiple signal classification algorithm; far-field uniform linear array model; noise; signal detection; Earthquakes; Multiple signal classification; Noise; Sensor arrays; Signal processing algorithms; AE; MUSIC; arbitrary array model; uniform linear array;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555566
Filename :
5555566
Link To Document :
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