A method for early warning of hidden troubles in train traction system

A traction system and hidden danger technology, which is applied in the field of early warning of hidden faults, can solve problems such as threatening driving safety, inability to make early warning of hidden dangers of component failures, and unfavorable driving safety, so as to achieve data simplification, overcome the influence of the accuracy of prediction results, and avoid time The effect of poor domain resolution

Inactive Publication Date: 2017-12-26
TONGJI UNIV
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

However, these technical means are only for fault diagnosis, and cannot give early warning of potential failures of traction system components before the fault occurs.
It is extremely detrimental to the safety of driving to make a fault diagnosis after the components are damaged due to failure, and even threaten the safety of driving.

Method used

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  • A method for early warning of hidden troubles in train traction system
  • A method for early warning of hidden troubles in train traction system

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Experimental program
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Embodiment

[0021] Such as figure 1 As shown, an early warning method for hidden troubles of train traction system includes the following steps:

[0022] First, the real-time operating data of the two key components of the train traction system, the inverter and the traction motor, are collected through sensors, and multi-sensor fusion is performed to obtain the operating data set as the input link of the entire method.

[0023] Then, enter the signal processing link. The specific process is:

[0024] First, the signal is preprocessed, and the signal is filtered according to the input threshold requirements for different data. Then use the powertrain wavelet algorithm to process the preprocessed data. For the data of different components, the processing methods are also different, such as figure 2 Shown. The hidden hazard feature value of the traction motor is extracted by the hidden hazard mining algorithm of the powertrain traction motor, and the hidden hazard feature value of the DC blee...

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Abstract

The invention relates to a method for early warning of potential failures of a train traction system, comprising the following steps: 1) collecting real-time operating data of the train traction system through sensors, and performing multi-sensor fusion to obtain an operating data set; After preprocessing the data, extract its hidden danger feature value; 3) Combine the hidden danger feature value into a hidden danger feature vector to represent the running state of the traction system; 4) Process the hidden danger feature vector through the fuzzy algorithm to obtain the change trend of the hidden trouble; 5) Use charts or curves to output changing trends, and carry out early warning of hidden troubles. Compared with the prior art, the invention has simplified data and high accuracy, and can effectively improve the driving safety of the train.

Description

Technical field [0001] The invention relates to an early warning method for hidden troubles of failure, in particular to an early warning method for hidden troubles of a train traction system. Background technique [0002] In recent years, my country's urban rail transit has developed vigorously, and the operating mileage and construction mileage have continued to increase. The structure of modern subway vehicles is becoming more and more complex, and the functions are becoming more and more perfect. However, with the increasing degree of automation, the probability of failure of subway vehicles is increasing, and the types of failures are complex and diverse. The traction drive system of urban rail trains is one of the key train systems, and it is also a frequent part of various electrical and mechanical failures. [0003] The main circuit of the train traction system adopts a two-level voltage-type DC-AC inverter circuit, which receives current through the catenary pantograph. T...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M17/08
Inventor 胡景泰梁海泉钱存元胡浩阙龙凯
Owner TONGJI UNIV
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