High-speed train multi-parameter intelligent threshold monitoring method

Abstract

The invention discloses a high-speed train multi-parameter intelligent threshold monitoring method, comprising the steps: firstly collecting the working condition parameters and state monitoring dataof the high-speed train, and dividing the state monitoring data according to the working condition parameters; analyzing the state monitoring data by using fuzzy kernel clustering to obtain various center coordinates and intra-class distances; and finally, calculating a regression relationship among the center coordinate, the intra-class distance and multiple working condition parameters, furtherintelligently calculating thresholds under various working conditions, and carrying out intelligent alarm on the high-speed train. The high-speed train multi-parameter intelligent threshold monitoringmethod is simple and feasible, and is suitable for determining the intelligent threshold of the high-speed train monitoring data under variable working conditions.

Description

technical field [0001] The invention belongs to the field of monitoring and diagnosis, and in particular relates to a multi-parameter intelligent threshold monitoring method for high-speed trains. Background technique [0002] With the rapid development of my country's railways, high-speed trains have become an important symbol of the rise of China's high-end manufacturing industry. However, high-speed trains are typical complex electromechanical systems, which integrate components in multiple physical domains such as mechanics, electricity, gas, and heat in a distributed and networked manner. complication. The maintenance of high-speed trains generally adopts a labor-intensive planned maintenance system regardless of cost and safety, which has become a bottleneck restricting the development and even export of high-speed trains in my country. For this reason, the railway maintenance and support department specifically proposed that future maintenance methods should be based...

AI Technical Summary

Problems solved by technology

The main reason is that high speed usually works in the harsh environment of high speed, strong vibration and high stress, and it is difficult for a single threshold index to adapt to changes in working conditions.

If the threshold is too high, the alarm can only be issued at the limit of the maximum speed, which will cause a large false alarm rate and fail to play the role of real-time early warning and alarm

If the threshold is too low, although it can adapt to low-speed working conditions, once it works at high speed, the normal state will be mistaken for a fault, which will cause a lot of waste of maintenance resources, and cause panic among personnel, affecting normal work

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