A method for on-line monitoring and evaluation of rail structure corrosion
An evaluation method and rail technology, applied in the direction of measuring devices, processing detection response signals, instruments, etc., can solve the problems of lack of a unified data acquisition and processing framework, and achieve the effect of improving calculation efficiency and accuracy, and improving calculation efficiency
Active Publication Date: 2022-03-01
EAST CHINA JIAOTONG UNIVERSITY +1
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Problems solved by technology
At present, there is a lack of a unified data acquisition and processing framework in the on-line inspection and on-line inspection of rail structures. How to use intelligent sensing and signal processing technology to build an online monitoring and evaluation framework for rail structure corrosion, improve the accuracy of rail structure data collection and the distribution of rail data Computational Processing Efficiency
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[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.
[0029] see figure 1 , a schematic diagram of online rail corrosion monitoring based on guided wave detection technology is given. The piezoelectric excitation module 12 and the piezoelectric sensing module 13 are respectively installed on the outer surface of the rail 11. The piezoelectric excitation module actively generates a guide wave under the action of an external signal. wave signal 15, ...
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The invention discloses an online monitoring and evaluation method for rail structure corrosion, and relates to the field of rail structure health monitoring and intelligent detection. Using piezoelectric guided wave technology to actively detect rail corrosion structure, build a multi-agent rail structure corrosion degree identification framework, collaboratively process rail structure corrosion data, and improve the processing efficiency of rail corrosion data. Using the rail corrosion factor to represent the corrosion characteristic information of the rail structure, according to the phase and amplitude relationship between the detected echo signal and the guided wave signal, an adaptive neural network fuzzy classification algorithm is proposed to realize the calculation of the rail corrosion degree, which is used to realize the Assessment of the degree of structural corrosion. The rail corrosion online monitoring and evaluation method of the invention will promote the application of intelligent detection technology in rail transit engineering.
Description
technical field [0001] The invention relates to the field of rail structure health monitoring and intelligent detection, in particular to an online monitoring and evaluation method for rail structure corrosion. Background technique [0002] Corrosion of rail structure directly affects the safety of trains, especially in recent years with the rapid development of high-speed railways in my country. Corrosion has caused great harm to rail traffic, and it costs high inspection and maintenance costs every year. my country has a vast territory, and the complexity of the geological and weather environment determines the complexity of the working environment of the rail structure, which brings great challenges to the corrosion monitoring of the rail structure. How to apply intelligent sensing and advanced signal processing technology to the on-line monitoring of rail structure corrosion is a major issue at present, which will help improve the intelligent operation and maintenance le...
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IPC IPC(8): G01N29/04G01N29/11G01N29/44
CPCG01N29/11G01N29/04G01N29/4481G01N29/4409G01N2291/0234G01N2291/0289G01N2291/0258G01N2291/2623
Inventor 董文涛刘林芽黄永安王晓明姚道金
Owner EAST CHINA JIAOTONG UNIVERSITY