DocumentCode :
722834
Title :
Intelligent magnetostrictive measurement technology for loss rate of cross-sectional area of rectangular notch
Author :
Zhihui Zhou ; Donglai Zhang ; Jinping Sun ; Enchao Zhang ; Shimin Pan ; Anshou Li
Author_Institution :
Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
fYear :
2015
fDate :
12-14 June 2015
Firstpage :
1
Lastpage :
5
Abstract :
Because of loss of cross-sectional area of pipes and ropes caused by corrosion and mechanical damage, the maximum stress and structural strength of material will be greatly reduced. In order to avoid structural failure, it is important to intelligently measure the loss rate of cross-sectional area of material. The traditional methods of measuring the residual material thickness are based on contact measurement method, so the measuring efficiency is low and it is not suitable for long time intelligently health monitoring of structure. This paper proposes a novel method to solve this problem. Magnetostrictive sensors are used to excite guided wave and detect the signals reflected from defects. And then, the cross-sectional loss of the defects can be intelligently calculated by using the detected signals by monitoring computer. The calculated results will be helpful for structural health measurement. The experimental results demonstrate that our proposed method can realize long range and non-contact intelligent measurement of cross-sectional loss of material.
Keywords :
loss measurement; magnetic field measurement; magnetic sensors; magnetostrictive devices; signal detection; contact measurement method; corrosion; cross-sectional material loss; cross-sectional rectangular notch area; intelligent magnetostrictive measurement technology; intelligently health monitoring; loss rate measurement; magnetostrictive sensor; maximum stress; mechanical damage; noncontact intelligent measurement; pipe; residual material thickness measurement; rope; signal detection; structural failure avoidance; structural health measurement; structural strength; Attenuation; Coils; Intelligent sensors; Loss measurement; Magnetic sensors; Magnetostriction; cross-sectional loss; defects; intelligent measurement; magnetostrictive; nondestructive testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2015 IEEE International Conference on
Conference_Location :
Shenzhen
Type :
conf
DOI :
10.1109/CIVEMSA.2015.7158592
Filename :
7158592
Link To Document :
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