Catenary detection fault early warning method based on dimension reduction fusion and factor analysis

Abstract

The invention discloses a catenary detection fault early warning method based on dimension reduction fusion and factor analysis. The parameters to be detected are determined according to the actual situation of the catenary, the data are collected by using a data acquisition sensor and the data are divided into the normal range data and the abnormal range data; then the normal range data are standardized and imported into a dimension reduction fusion analysis module and a factor analysis module respectively; and finally the final early warning situation is determined according to the controlled situation of the dimension reduction fusion method and the influence of each parameter obtained by the factor analysis method and the catenary overhaul personnel are notified. The method makes up for the deficiency of the conventional catenary parameter detection mode, fully considers the fault early warning possibly caused by the data of a single parameter and can perform early warning of the fault possibly caused by the mutual influence of a plurality of parameters so as to be more objective and reasonable and fully ensure the safe and stable operation of the catenary.

Description

technical field [0001] The invention relates to the field of catenary detection in electrified rail transit, in particular to a fault warning method for catenary detection based on dimensionality reduction fusion and factor analysis. Background technique [0002] As of 2017, my country's railway mileage has reached 127,000 kilometers, and electrified railways have become a major part of the national railway network. Catenary is one of the "three major components" of electrified railways, and its operating status has an impact that cannot be ignored on the entire railway system. The catenary is erected along the sky above the railway track, and is generally arranged in the open air. It is easily affected by the complex geographical environment and bad weather. At the same time, it is also easily affected by high-speed impact when the train is running at high speed. It has become the weakest link of the entire railway power supply system. one. Therefore, it is very necessary...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the traditional catenary detection method cannot detect the faults caused by the mutual influence of various detection parameters, and lead to the inability to quickly and accurately make an objective analysis of the entire operating state of the catenary. A catenary detection fault early warning method based on dimensionality reduction fusion and factor analysis is proposed in order to more comprehensively and accurately detect various parameters of the catenary and the relationship between them to ensure that the catenary is in a safe and stable operating condition

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