Reducing the number of measuring lines in a fiber-optic tomographic measuring network
O. Kamenev1'2*, A. Kamenev1'2, Yu. Petrov1
1- Institute of Automation and Control Processes, Far Eastern Branch of Russian Academy of Sciences,
5 Radio str., 690041, Vladivostok, Russia 2- Far Eastern Federal University, Institute of High Technologies and Advanced Materials, 10 Ajax Bay, Russky
Island, 690922, Vladivostok, Russia
A fiber-optic tomographic measuring network is proposed, in which quasi-distributed measuring lines are laid along curved trajectories (Fig. 1).
Fig. 1. Fiber-optic tomographic measuring network.
The measuring network presents a number of nonlinear measuring lines with fiber-optical amplitude sensing elements. The proposed topology of the measuring network makes it possible to significantly reduce the number of lines. The data processing is carried out by a neural network containing an inner layer of nonlinear neurons. The results of numerical experiments, as well as experiments with the layout of a measuring network of dimension 8^8, are presented (Fig. 2).
Fig. 2. The results of numerical experiments: a - reconstructed physical field, b - result of reconstruction by neural network.
b
a