An efficient closed-form solution for acoustic emission source location in three-dimensional structures

This paper presents an efficient closed-form solution (ECS) for acoustic emission(AE) source location in three-dimensional structures using time difference of arrival (TDOA) measurements from N receivers, N ≥ 6. The nonlinear location equations of TDOA are simplified to linear equations. The unique analytical solution of AE sources for unknown velocity system is obtained by solving the linear equations. The proposed ECS method successfully solved the problems of location errors resulting from measured deviations of velocity as well as the existence and multiplicity of solutions induced by calculations of square roots in existed close-form methods.

[1]  H. C. Schau,et al.  Passive source localization employing intersecting spherical surfaces from time-of-arrival differences , 1987, IEEE Trans. Acoust. Speech Signal Process..

[2]  Julius O. Smith,et al.  Closed-form least-squares source location estimation from range-difference measurements , 1987, IEEE Trans. Acoust. Speech Signal Process..

[3]  R. M. Belchamber,et al.  Acoustic emission source locating using simplex optimization , 1990 .

[4]  Michael S. Brandstein,et al.  A closed-form location estimator for use with room environment microphone arrays , 1997, IEEE Trans. Speech Audio Process..

[5]  Kevin L. Rens,et al.  Review of nondestructive evaluation techniques of civil infrastructure , 1999 .

[6]  L. Davis,et al.  Exact solutions for the problem of source location from measured time differences of arrival , 1999 .

[7]  John L. Spiesberger.  Hyperbolic location errors due to insufficient numbers of receivers , 2001 .

[8]  J. Raquet,et al.  Closed-form solution for determining emitter location using time difference of arrival measurements , 2003 .

[9]  Hui Liu,et al.  Acoustic positioning using multiple microphone arrays. , 2005, The Journal of the Acoustical Society of America.

[10]  Stephen J. Arrowsmith,et al.  Discrimination of Delay-Fired Mine Blasts in Wyoming Using an Automatic Time-Frequency Discriminant , 2006 .

[11]  Sharon Gannot,et al.  Microphone Array Speaker Localizers Using Spatial-Temporal Information , 2006, EURASIP J. Adv. Signal Process..

[12]  Andreas Håkansson,et al.  Directional acoustic source by scattering acoustical elements , 2007 .

[13]  Y. C. Zhou,et al.  Real-time acoustic emission testing based on wavelet transform for the failure process of thermal barrier coatings , 2008 .

[14]  Jie Tian,et al.  Numerical simulation on the acoustic emission activities of concrete , 2010 .

[15]  Li Qiyue,et al.  Effects of sonic speed on location accuracy of acoustic emission source in rocks , 2011 .

[16]  Jiuling Liu,et al.  Wireless and Passive Gyroscope based on Surface Acoustic Wave Gyroscopic Effect , 2011 .

[17]  Longjun Dong,et al.  Comparison of Two Methods in Acoustic Emission Source Location Using Four Sensors Without Measuring Sonic Speed , 2011 .

[18]  Li Xibing,et al.  Three-dimensional analytical solution of acoustic emission or microseismic source location under cube monitoring network , 2012 .

[19]  T. Kundu,et al.  Acoustic source localization in anisotropic plates. , 2012, Ultrasonics.

[20]  Hsiao-Hwa Chen,et al.  Trust, Security, and Privacy in Next-Generation Wireless Sensor Networks , 2013, Int. J. Distributed Sens. Networks.

[21]  Huijun Gao,et al.  A Survey on Distributed Filtering and Fault Detection for Sensor Networks , 2014 .

[22]  Tribikram Kundu,et al.  Acoustic source localization. , 2014, Ultrasonics.