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Turnout fault diagnosis method based on qualitative trend analysis

A fault diagnosis and trend analysis technology, applied in the direction of response errors, complex mathematical operations, instruments, etc., can solve problems such as inability to work for a long time, fuzzy threshold rules, loss of reference value in the operating working environment, etc. Avoid running, believable effects

Active Publication Date: 2017-12-08
NANJING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the complex and harsh operating environment of the turnout site makes the preset thresholds in the computer monitoring equipment lose their reference value after a period of time. In addition, these thresholds are generally set by maintenance experts, and the ambiguity of expert experience also makes them Summarized threshold rules fail to work in the long run and generalize effectively

Method used

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  • Turnout fault diagnosis method based on qualitative trend analysis
  • Turnout fault diagnosis method based on qualitative trend analysis
  • Turnout fault diagnosis method based on qualitative trend analysis

Examples

Experimental program
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Embodiment 1

[0090] This embodiment focuses on fault diagnosis of a ZD6-A type turnout laid by a subway company line, and collects current operating signals of the turnout (30 groups in each of 5 states, 150 groups in total) to verify the fault diagnosis method.

[0091] 10 groups are randomly selected from 30 groups of current operation signals in each of the five states. A total of 50 groups are used to establish fault diagnosis rules for the five states. The remaining 100 groups of current operation signals are used for trend matching and final fault diagnosis.

[0092] The following takes the no-fault trend rule as an example to illustrate the process of establishing the rule. The process of establishing the fault trend rule from fault 1 to fault 4 is similar.

[0093] In order to more accurately extract hidden trends in the signal, eliminate subtle irrelevant trends, and better establish a fault rule knowledge base, it is necessary to perform Gaussian filtering on the signal curve first. fig...

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PUM

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Abstract

The invention discloses a turnout fault diagnosis method based on qualitative trend analysis. According to the method, first, Gaussian filtering and interval half trend extraction are performed on typical current running signals in the five states of turnout normality, unlocking difficulty, step conversion resistance fault, sawtooth conversion resistance fault and locking difficulty fault, fault trend rules are summarized, and a fault diagnosis knowledge base is established; second, Gaussian filtering and interval half trend extraction are performed on a to-be-diagnosed current running signal, obtained fault trends are matched with the fault trend rules in the fault diagnosis knowledge base, and corresponding matching degrees are obtained; if all the matching degrees are smaller than 0.5, fault reasons are determined through manual analysis; if not all the matching degrees are smaller than 0.5, the fault trend with the maximum matching degree is the turnout state; and finally a fault diagnosis result is output. The method is low in cost, simple in structure and convenient to operate, and the diagnosis result has high credibility.

Description

Technical field [0001] The invention belongs to the field of railway turnout state detection, and particularly relates to a turnout fault diagnosis method based on qualitative trend analysis. Background technique [0002] The switch is installed between two or more strands of rails to connect different rails. Restricted by its own complex mechanical structure and actuators, the mechanical strength of each part of the switch is generally lower than that of the equipment on the line, so the mechanical structure is prone to fatigue changes, resulting in excessive clearance between the switch rail and the basic rail, resulting in The train was squeezed and even derailed. Turnouts are generally installed outdoors, and their working environment is greatly affected by weather factors. For example, windy weather can cause blockage between the switch rail and the basic rail and jamming. Rain and snow weather makes the sliding bed board subject to abnormal resistance and affects the switc...

Claims

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Application Information

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IPC IPC(8): G06F11/07G06F17/11G06F17/16G06F17/17
CPCG06F11/079G06F17/11G06F17/16G06F17/17
Inventor 董伟邢宗义
Owner NANJING UNIV OF SCI & TECH
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