Fuzzy fusion-based multi-sensor crack damage comprehensive diagnosis method

Abstract

The invention discloses a fuzzy fusion-based multi-sensor crack damage comprehensive diagnosis method. The method comprises the steps of A, collecting a fiber grating spectrum, a Lamb signal and an intelligent coating resistance value; B, extracting characteristic parameters; C, respectively performing fuzzification processing on characteristic parameters of signals collected by fiber grating, piezoelectric and intelligent coating sensors by use of a Gaussian membership function to obtain three membership functions; D, performing fuzzy fusion by use of a Jaeger algorithm to obtain a comprehensive membership function and a fusion factor omega; E, defuzzifying the comprehensive membership function obtained by fuzzy fusion to obtain fused characteristic parameters; and F, performing relationfitting processing on data obtained by fuzzification processing by use of the fusion factor and fiber grating, piezoelectric and intelligent coating sensor data, and obtaining a relation between the fused characteristic parameters and a damage amount by prediction and verification. According to the fuzzy fusion-based multi-sensor crack damage comprehensive diagnosis method, the problem that information judgment and comprehensive diagnosis cannot be directly performed by use of the multi-sensor data at present can be effectively solved.

Description

technical field [0001] The invention relates to health monitoring technology, in particular to a multi-sensor crack damage comprehensive diagnosis method based on fuzzy fusion. Background technique [0002] The fiber optic sensor can be used for real-time monitoring of the stress and strain in the local area of ​​its placement, and has the advantages of anti-electromagnetic interference, anti-corrosion, high sensitivity, intrinsically passive, easy maintenance, light weight, and corrosion resistance, making it suitable for various applications. Large-scale electromechanical, petrochemical, strong electromagnetic interference, flammable, explosive, and strong corrosive environments have been more and more widely used, but the area that fiber optic sensors can monitor is relatively small, and they cannot monitor structures on a large scale. [0003] Piezoelectric sensors are sensors based on the piezoelectric effect, which have the advantages of high sensitivity, wide operatin...

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Problems solved by technology

[0006] In view of this, the main purpose of the present invention is to provide a multi-sensor crack damage comprehensive diagnosis method based on fuzzy fusion, to solve the problem that multi-sensor data cannot be directly used for information judgment and comprehensive diagnosis, and to use the fused multi-sensor data for crack detection. Comprehensive diagnosis of injury

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