A Structural Damage Location Recognition System Based on Single Fiber Bragg Grating and Neural Network

Abstract

The invention discloses a structural damage position recognition system based on a single fiber grating and a neural network, including a broadband light source, an optical fiber isolator, a tunable F-P filter, an erbium-doped optical fiber amplifier, an optical fiber circulator, and an optical fiber grating sensing array , an unbalanced M-Z interferometer, a photodetector array, a data acquisition card, a data processing unit, and a signal generation module; a fiber grating sensor in a fiber grating sensing array is installed in each structural area to be measured, and a single Only the fiber grating sensor collects the vibration response signal of the structure under the excitation of the active signal; the wavelet packet decomposition technology is used to decompose the collected signal to obtain the feature vector containing the damage position information, and then the feature vector is input into the neural network for training. The neural network can realize accurate structural damage location identification. The invention reduces the cost of the system and the complexity of the sensor network, and the correct recognition rate reaches 96%.

Description

technical field [0001] The invention relates to a system for identifying and monitoring the damaged position of a plate structure, in particular to a system for identifying and monitoring the damaged position of a plate structure where traditional electronic sensors are not suitable. Background technique [0002] The healthy and stable operation of the aerospace equipment structure and the safety and stability of the power system equipment structure are of great significance. In order to reduce economic losses and avoid casualties, a complete structural health monitoring system must be established. There are many shortcomings based on traditional electromagnetic sensors, and the structural damage identification system based on fiber gratings has many advantages that traditional sensors cannot match. The best choice for domain structural damage identification. However, the currently used FBG damage location identification method often requires three or more sensors to determ...

AI Technical Summary

Problems solved by technology

However, the currently used FBG damage location identification method usually requires three or more sensors to determine whether there is damage in an area, which greatly increases the cost of the system and the complexity of the sensor network, and the FBG wavelength demodulation system constitutes Complicated, slow demodulation speed, and complex damage location recognition algorithm

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