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Network Delay-Weighted Least Squares Localization Algorithm with Taylor Expansion based on Acoustic Emission

Volume 15, Number 1, January 2019, pp. 209-219
DOI: 10.23940/ijpe.19.01.p21.209219

Ying Wang, Yue Ma, Fuzhong Bai, and Pengcheng Liu

College of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot, 010051, China

(Submitted on October 15, 2018; Revised on November 13, 2018; Accepted on December 14, 2018)


As a dynamic non-destructive testing technology, acoustic emission (AE) detection technology can locate the early damage of equipment and provide data support for health management. In order to improve the accuracy of wireless AE-based location, this paper proposes a Taylor expansion least squares algorithm to concern network delay. Firstly, according to the planar four-point positioning structure, a wireless AE detection system based on star topology is constructed, and the Taylor expanded least squares localization algorithm is then proposed. Secondly, the network queuing delay is analyzed, and the algorithm is modified with weighting factors of delay. Finally, simulation results show that the accuracy of the network delay-weighted algorithm has been improved.


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