Simultaneous measurement of temperature and strain: An artificial neural network approach

被引：15

作者：

Chan, CC ^{[1
]}

Jin, W ^{[1
]}

Rad, AB ^{[1
]}

Demokan, MS ^{[1
]}

机构：

[1] City Polytech Hong Kong, Dept Elect Engn, Kowloon, Hong Kong

来源：

IEEE PHOTONICS TECHNOLOGY LETTERS | 1998年 / 10卷 / 06期

关键词：

fiber optics; neural networks; strain measurement; temperature measurement;

D O I：

10.1109/68.681508

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this letter, we report the use of an artificial neural network approach for simultaneous recovery of information about strain and temperature from fiber optic sensors. Simulation results show that, for a particular sensor with large cross-sensitivity, temperature and strain measurement accuracy can be increased by 12 and 3 times, respectively, when compared with the matrix inversion method.

引用

页码：854 / 856

页数：3

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