Intelligent detection method for floating slab track steel spring damage

Abstract

The invention relates to the technical field of rail transit, and aims to provide an intelligent detection method for floating slab rail steel spring damage, which comprises the following steps: S1, constructing a vehicle-floating slab rail coupling dynamics simulation model according to related parameters; s2, calculating the vibration acceleration of the floating slab under various scenes by using the simulation model, and constructing a big data set by using a calculation result; s3, establishing a one-dimensional convolutional neural network containing a residual learning thought, and performing training, parameter optimization and performance test on the neural network by utilizing the established data set; s4, designing a sensor arrangement scheme matched with the network; s5, designing a data set construction scheme suitable for the detection tasks in various scenes; s6, carrying out an experiment on a track plate of a subway line target section, combining a sensor arrangement scheme and a data set construction scheme to construct an actual measurement big data set, carrying out transfer learning on a neural network trained by utilizing simulation data, wherein the network has the capability of identifying actual measurement data.

Description

technical field [0001] The invention relates to the field of rail transportation, in particular to an intelligent detection method for damage to a floating slab rail steel spring. Background technique [0002] With the development of the urban rail transit industry, the scale of subway lines in various cities continues to expand, and the environmental vibration and noise problems caused by subways have attracted much attention. Vibration and noise reduction is an important issue that needs to be considered in subway construction. As an important damping product, the floating slab track is widely used because of its good damping performance. However, the damping performance of the floating slab track is very dependent on the reliability of its internal damping steel spring, and the fracture of the steel spring will seriously affect the performance of the floating slab track and threaten driving safety. However, there is no effective detection method available in the floating...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an intelligent detection method for the damage of the track steel spring of the floating slab, using a one-dimensional convolutional neural network as a means, using the vibration response of the track slab as the analysis object, and solving the limitations caused by manual inspection , by analyzing the influence of the complex relative distance between the sensor and the damaged steel spring on the recognition accuracy, the sensor layout scheme is optimized. The invention has a reasonable structure, ingenious design, and is suitable for popularization;

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