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Fault acoustic diagnosis system for turnout switch machine

A diagnostic system and switch machine technology, applied in complex mathematical operations, railway car body parts, railway signal and safety, etc., can solve various types of faults, incomplete noise elimination, extreme weather (rain, snow or icing, etc.) and other factors to achieve the effect of solving errors and improving accuracy

Pending Publication Date: 2021-11-19
ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE
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  • Abstract
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Problems solved by technology

[0002] The switch point machine is used to switch the different running directions of the train. The switch point machine, the signal machine and the track circuit are the three most critical outdoor components in the railway signal system. Since the switch point machine has been placed outdoors for a long time, its working condition is very It is easily affected by factors such as the external environment (foreign objects stuck between the tip and the base rail, etc.) and extreme weather (rain, snow or icing, etc.), and the failure of the switch point machine is one of the main reasons affecting the operating efficiency and safety of the train; When the switch machine fails mechanically, the physical structure of the switch machine will change. From the acoustic point of view, under the premise that the acquisition equipment remains unchanged, the characteristics of an acoustic signal are determined by the signal source and the propagation medium. The change of the physical structure of the track machine will inevitably cause the change of the signal source or the propagation medium, thereby causing the change of the characteristics of the acoustic signal. As long as we can find out these characteristic points of the acoustic signal that change with the change of the physical structure and detect them, we can It can be judged whether the switch machine is in normal operation or a fault has occurred; however, when processing acoustic signals, there will be problems such as incomplete noise elimination, excessive noise elimination, inaccurate selection of feature subsets of acoustic signals, and various types of faults, making it impossible to accurately Differentiate the acoustic signal of normal switch machine and the acoustic signal of abnormal switch machine, so as to detect the mechanical failure of switch switch machine in time, in order to improve the accuracy of the acoustic detection signal of switch switch machine, timely measures can be taken to reduce the train running risk and improve train operation efficiency, this system provides an acoustic detection and diagnosis system for switch machine faults

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  • Fault acoustic diagnosis system for turnout switch machine
  • Fault acoustic diagnosis system for turnout switch machine
  • Fault acoustic diagnosis system for turnout switch machine

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Embodiment Construction

[0032] Regarding the aforementioned and other technical contents, features and effects of the present invention, refer to the appended Figure 1 to Figure 4 It will be apparent from the detailed description of the embodiments. The structural contents mentioned in the following embodiments are all based on the accompanying drawings of the description.

[0033] An acoustic diagnosis system for a switch point machine fault, comprising a signal acquisition module, a storage module, a data analysis module, a signal preprocessing module, an acoustic detection module, and an evaluation module, the signal acquisition module is used to collect detection data information of a switch point machine, The data analysis module obtains the environmental impact parameters and thresholds by analyzing the detection data information; in the acoustic detection, the accuracy of the detection of the acoustic signal affects the accuracy of the fault detection of the switch machine, but the collection...

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Abstract

The invention discloses a fault acoustic diagnosis system for a turnout switch machine, which comprises a signal acquisition module, a storage module, a data analysis module, a signal preprocessing module, an acoustic detection module and an evaluation module, wherein the signal acquisition module is used for acquiring detection data information and storing the detection data information in the storage module; the evaluation module analyzes existing environment information and fault detection results to obtain main influence factors, the signal preprocessing module carries out preprocessing to obtain preprocessing results, and the data analysis module analyzes the preprocessing results of the signal preprocessing module to obtain noise influence parameters, analyzes the environment information in the acquisition time period to obtain an environment influence parameter, finally obtains a threshold value through the preprocessing result, the noise influence parameter and the environment influence parameter. A feature subset of the acoustic signal is selected through the threshold value, the accuracy of acoustic signal detection is improved by selecting the characteristics of the acoustic signal through the threshold value.

Description

technical field [0001] The invention relates to the technical field of acoustic diagnosis, in particular to an acoustic diagnosis system for a switch machine fault. Background technique [0002] The switch point machine is used to switch the different running directions of the train. The switch point machine, the signal machine and the track circuit are the three most critical outdoor components in the railway signal system. Since the switch point machine has been placed outdoors for a long time, its working condition is very It is easily affected by factors such as the external environment (foreign objects stuck between the tip and the base rail, etc.) and extreme weather (rain, snow or icing, etc.), and the failure of the switch point machine is one of the main reasons affecting the operating efficiency and safety of the train; When the switch machine fails mechanically, the physical structure of the switch machine will change. From the acoustic point of view, under the pr...

Claims

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Application Information

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IPC IPC(8): G06F17/16G06F17/10B61K9/08B61L23/04
CPCG06F17/16G06F17/10B61K9/08B61L23/04
Inventor 马骅杨靖雅卢伟房新荷高基豪吴甜甜楚彩虹
Owner ZHENGZHOU RAILWAY VOCATIONAL & TECH COLLEGE