Multi-sensor damage networking monitoring method based on Bayesian risk function

Abstract

The invention provides a multi-sensor damage networking monitoring method based on Bayesian risk function. The method includes the steps of firstly, selecting appropriate sensors; secondly, building the Bayesian risk function; thirdly, building a Bayesian risk function optimization equation, and searching for an optimal layout scheme; fourthly, performing sensor layout scheme quantitative analysis, and using detection rate and false alarm rate to quantify the advantages and disadvantages of the given sensor layout scheme; fifthly, performing sensor layout damage networking monitoring. By the arrangement, the method has the advantages that multi-sensor damage networking monitoring based on the Bayesian risk function is achieved, complex-structure damage signal effective extraction is achieved, and influence of complex-structure dimension and configuration on monitoring signal transmission and collection is lowered; limited resource distribution is optimized, system monitoring ability isincreased, and equipment whole life cycle cost is lowered; the multi-filed detection method is adopted, and the problems that the piezoelectric technology is greatly affected by the structure, the optical fiber technology cannot directly monitor cracks, and intelligent coating is high in false alarm rate are solved.

Description

technical field [0001] The invention provides a multi-sensor damage network monitoring method based on the Bayesian risk function, which is a method for realizing effective extraction of complex structure damage signals and reducing the influence of complex structure size and configuration on the propagation and collection of monitoring signals. It combines and arranges optimal sensors, proposes specific monitoring methods, and optimizes monitoring results, which belongs to the field of structural damage monitoring. Background technique [0002] Traditional structural damage monitoring is based on single sensor detection technology of piezoelectric, optical fiber and smart coating. Among them, piezoelectric-based sensor detection technology has good regional monitoring capabilities and is sensitive to crack damage, which can be effectively combined with Lamb wave active monitoring methods, but piezoelectric technology is greatly affected by the structure. Optical fiber-base...

AI Technical Summary

Problems solved by technology

Among them, the piezoelectric-based sensor detection technology has good regional monitoring capabilities, is sensitive to crack damage, and can be effectively combined with the Lamb wave active monitoring method, but the piezoelectric technology is greatly affected by the structure

Optical fiber-based sensor detection technology is light in weight and has good corrosion resistance. At the same time, it can realize multi-point monitoring on one optical fiber with high monitoring accuracy. However, optical fiber technology cannot directly monitor cracks, but can only monitor stress and strain.

The application of detection technology based on intelligent coating is simple, especially for crack monitoring of internal closed structures, but its area must be clear in the area of ​​crack initiation and expansion, and the false alarm rate is high

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